CN114186932A - Cargo distribution method and device for compartment grid robot in office area - Google Patents
Cargo distribution method and device for compartment grid robot in office area Download PDFInfo
- Publication number
- CN114186932A CN114186932A CN202111506247.7A CN202111506247A CN114186932A CN 114186932 A CN114186932 A CN 114186932A CN 202111506247 A CN202111506247 A CN 202111506247A CN 114186932 A CN114186932 A CN 114186932A
- Authority
- CN
- China
- Prior art keywords
- robot
- compartment
- distribution
- double
- goods
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J11/00—Manipulators not otherwise provided for
- B25J11/008—Manipulators for service tasks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Robotics (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Mechanical Engineering (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The disclosure relates to the technical field of robots, and provides a cargo distribution method and device for a compartment robot in an office area. The method comprises the following steps: acquiring road section information of a passing road section in an office area, wherein the passing road section comprises: elevator and corridor sections; acquire compartment check robot's structural information and the goods information of goods of waiting to deliver, wherein, compartment check robot includes: a single-compartment robot, a double-compartment robot and a multi-compartment robot; constructing a delivery task based on the road section information, the structure information and the cargo information, wherein the delivery task comprises the following steps: the method comprises the following steps that single-compartment robot distribution tasks, double-compartment robot distribution tasks and multi-compartment robot distribution tasks are carried out; according to the distribution task, a target robot is determined from the single-compartment robot, the double-compartment robot and the multi-compartment robot, and distribution of goods to be distributed in the office area is completed through the target robot.
Description
Technical Field
The disclosure relates to the technical field of robots, in particular to a cargo distribution method and device for a compartment robot in an office area.
Background
With the development of robotics, robots are widely used in various fields. In the field of robot delivery of goods, in order to meet goods of different volumes, cabin lattice robots of different volumes need to be manufactured. However, because the volume of the delivered goods is random, the problem that the number of the cabin lattice robots with different volumes is insufficient at different periods easily occurs. For example, when the large compartment grid robot is in shortage, the small compartment grid robot is redundant, the delivery demand of large-volume goods cannot be met, the utilization rate of the small compartment grid robot is low, and the problem that the delivery efficiency of the robot is low is caused. Particularly in office areas, the problem of low efficiency of the robot in goods delivery is particularly obvious because of the complex road section environment.
In the course of implementing the disclosed concept, the inventors found that there are at least the following technical problems in the related art: because the volume of the delivered goods is random, the robot has the problem of low delivery efficiency of the goods.
Disclosure of Invention
In view of the above, embodiments of the present disclosure provide a cargo distribution method and apparatus for a bay robot in an office area, an electronic device, and a computer-readable storage medium, so as to solve the problem in the prior art that the efficiency of the robot for distributing cargos is low because the volume of the distributed cargos is random.
In a first aspect of the embodiments of the present disclosure, a cargo distribution method for a bay robot in an office area is provided, including: acquiring road section information of a passing road section in an office area, wherein the passing road section comprises: elevator and corridor sections; acquire compartment check robot's structural information and the goods information of goods of waiting to deliver, wherein, compartment check robot includes: a single-compartment robot, a double-compartment robot and a multi-compartment robot; constructing a delivery task based on the road section information, the structure information and the cargo information, wherein the delivery task comprises the following steps: the method comprises the following steps that single-compartment robot distribution tasks, double-compartment robot distribution tasks and multi-compartment robot distribution tasks are carried out; according to the distribution task, a target robot is determined from the single-compartment robot, the double-compartment robot and the multi-compartment robot, and distribution of goods to be distributed in the office area is completed through the target robot.
In a second aspect of the embodiments of the present disclosure, there is provided a cargo distribution apparatus for a shelf robot in an office area, including: the first acquisition module is configured to acquire section information of a traffic section in an office area, wherein the traffic section comprises: elevator and corridor sections; a second obtaining module configured to obtain structural information of the lattice robot and cargo information of the cargo to be delivered, wherein the lattice robot includes: a single-compartment robot, a double-compartment robot and a multi-compartment robot; a construction module configured to construct a delivery task based on the road section information, the structure information, and the cargo information, wherein the delivery task includes: the method comprises the following steps that single-compartment robot distribution tasks, double-compartment robot distribution tasks and multi-compartment robot distribution tasks are carried out; and the distribution module is configured to determine a target robot from the single-compartment robot, the double-compartment robot and the multi-compartment robot according to the distribution task, and complete the distribution of goods to be distributed in the office area through the target robot.
In a third aspect of the embodiments of the present disclosure, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the above method when executing the computer program.
In a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, which stores a computer program, which when executed by a processor, implements the steps of the above-mentioned method.
Compared with the prior art, the embodiment of the disclosure has the following beneficial effects: acquiring road section information of a passing road section in an office area, wherein the passing road section comprises: elevator and corridor sections; acquire compartment check robot's structural information and the goods information of goods of waiting to deliver, wherein, compartment check robot includes: a single-compartment robot, a double-compartment robot and a multi-compartment robot; constructing a delivery task based on the road section information, the structure information and the cargo information, wherein the delivery task comprises the following steps: the method comprises the following steps that single-compartment robot distribution tasks, double-compartment robot distribution tasks and multi-compartment robot distribution tasks are carried out; according to the distribution task, a target robot is determined from the single-compartment robot, the double-compartment robot and the multi-compartment robot, and distribution of goods to be distributed in the office area is completed through the target robot. By adopting the technical means, the problem that the robot delivers goods with low efficiency due to the fact that the size of the delivered goods is random in the prior art can be solved, and then the efficiency of delivering goods by the robot is improved.
Drawings
To more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without inventive efforts.
FIG. 1 is a scenario diagram of an application scenario of an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a cargo distribution method of a bay robot in an office area according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a cargo distribution device of a bay robot in an office area according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the disclosed embodiments. However, it will be apparent to one skilled in the art that the present disclosure may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present disclosure with unnecessary detail.
A cargo distribution method and apparatus of a shelf robot in an office area according to an embodiment of the present disclosure will be described in detail with reference to the accompanying drawings.
Fig. 1 is a scene schematic diagram of an application scenario of an embodiment of the present disclosure. The application scenario may include terminal devices 1, 2, and 3, server 4, and network 5.
The terminal devices 1, 2, and 3 may be hardware or software. When the terminal devices 1, 2 and 3 are hardware, they may be various electronic devices having a display screen and supporting communication with the server 4, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like; when the terminal devices 1, 2, and 3 are software, they may be installed in the electronic devices as above. The terminal devices 1, 2 and 3 may be implemented as a plurality of software or software modules, or may be implemented as a single software or software module, which is not limited by the embodiments of the present disclosure. Further, the terminal devices 1, 2, and 3 may have various applications installed thereon, such as a data processing application, an instant messaging tool, social platform software, a search-type application, a shopping-type application, and the like.
The server 4 may be a server providing various services, for example, a backend server receiving a request sent by a terminal device establishing a communication connection with the server, and the backend server may receive and analyze the request sent by the terminal device and generate a processing result. The server 4 may be one server, may also be a server cluster composed of a plurality of servers, or may also be a cloud computing service center, which is not limited in this disclosure.
The server 4 may be hardware or software. When the server 4 is hardware, it may be various electronic devices that provide various services to the terminal devices 1, 2, and 3. When the server 4 is software, it may be a plurality of software or software modules providing various services for the terminal devices 1, 2, and 3, or may be a single software or software module providing various services for the terminal devices 1, 2, and 3, which is not limited by the embodiment of the present disclosure.
The network 5 may be a wired network connected by a coaxial cable, a twisted pair and an optical fiber, or may be a wireless network that can interconnect various Communication devices without wiring, for example, Bluetooth (Bluetooth), Near Field Communication (NFC), Infrared (Infrared), and the like, which is not limited in the embodiment of the present disclosure.
A user can establish a communication connection with the server 4 via the network 5 through the terminal devices 1, 2, and 3 to receive or transmit information or the like. It should be noted that the specific types, numbers and combinations of the terminal devices 1, 2 and 3, the server 4 and the network 5 may be adjusted according to the actual requirements of the application scenarios, and the embodiment of the present disclosure does not limit this.
Fig. 2 is a schematic flowchart of a cargo distribution method of a bay robot in an office area according to an embodiment of the present disclosure. The cargo distribution method of the shelf robot in the office area of fig. 2 may be performed by the terminal device or the server of fig. 1. As shown in fig. 2, the cargo distribution method of the shelf robot in the office area includes:
s201, obtaining road section information of a passing road section in an office area, wherein the passing road section comprises: elevator and corridor sections;
s202, structural information of the compartment grid robot and cargo information of goods to be delivered are obtained, wherein the compartment grid robot comprises: a single-compartment robot, a double-compartment robot and a multi-compartment robot;
s203, constructing a delivery task based on the road section information, the structure information and the cargo information, wherein the delivery task comprises: the method comprises the following steps that single-compartment robot distribution tasks, double-compartment robot distribution tasks and multi-compartment robot distribution tasks are carried out;
and S204, according to the distribution task, determining a target robot from the single-compartment robot, the double-compartment robot and the multi-compartment robot, and completing the distribution of goods to be distributed in the office area through the target robot.
Link information including: the real-time traffic condition is the number of pedestrians and robots passing through the road section at the current moment. The structural information may be understood as a mathematical model of the lattice robot or a set of parameters representing the structure of the lattice robot. Cargo information of cargo to be delivered, comprising: the volume, weight, delivery address of the goods to be delivered, the deadline for completion of the delivery, etc. The single-compartment robot is a robot with only one compartment, and the compartment number of the multi-compartment robot is more than two and is an even number. The constructed distribution tasks include cargo information, information of the target robot, and a distribution path, wherein the distribution path is constructed based on road section information, structure information, and a map of an office area, and since the robot path planning is not a key point of the embodiment of the present disclosure, it is not described herein again. The goods to be delivered may be for delivery, take-out, or the like.
According to the technical scheme provided by the embodiment of the disclosure, the road section information of the passing road section in the office area is acquired, wherein the passing road section comprises the following steps: elevator and corridor sections; acquire compartment check robot's structural information and the goods information of goods of waiting to deliver, wherein, compartment check robot includes: a single-compartment robot, a double-compartment robot and a multi-compartment robot; constructing a delivery task based on the road section information, the structure information and the cargo information, wherein the delivery task comprises the following steps: the method comprises the following steps that single-compartment robot distribution tasks, double-compartment robot distribution tasks and multi-compartment robot distribution tasks are carried out; according to the distribution task, a target robot is determined from the single-compartment robot, the double-compartment robot and the multi-compartment robot, and distribution of goods to be distributed in the office area is completed through the target robot. By adopting the technical means, the problem that the robot delivers goods with low efficiency due to the fact that the size of the delivered goods is random in the prior art can be solved, and then the efficiency of delivering goods by the robot is improved.
In step S203, a delivery task is constructed based on the road section information, the structure information, and the cargo information, wherein the delivery task includes: single check robot delivery task, two check robot delivery tasks and many check robot delivery tasks include: comparing the road section information with the structure information, and determining a comparison result, wherein the comparison result comprises: the passing road section allows the single-compartment robot to pass, the passing road section allows the double-compartment robot to pass, and the passing road section allows the multi-compartment robot to pass; and constructing a delivery task according to the cargo information and the comparison result, wherein the delivery task comprises the following steps: the system comprises a single-compartment robot distribution task, a double-compartment robot distribution task and a multi-compartment robot distribution task.
Comparing the section information with the structure information can be understood as judging which compartment robot is allowed to pass through the passing section. The single-compartment robot distribution task is a distribution task for distributing goods to be distributed in an office area by using one or more single-compartment robots; the double-compartment robot distribution task is a distribution task for distributing goods to be distributed in an office area by using one or more double-compartment robots; the multi-bay robot distribution task is a distribution task for distributing goods to be distributed in an office area using one or more multi-bay robots. And constructing a distribution task according to the cargo information and the comparison result as long as the distribution task is according to the volume of the cargo to be distributed. If the comparison result shows that the passing road section is wide and allows the multi-compartment robot to pass through, the goods to be delivered are delivered by the single-compartment robot if the goods to be delivered are small pieces, are delivered by the double-compartment robot if the goods to be delivered are medium pieces, and are delivered by the multi-compartment robot if the goods to be delivered are large pieces. The small pieces, the middle pieces and the large pieces correspond to goods which can be distributed by the single-compartment robot, the double-compartment robot and the multi-compartment robot respectively.
In step S203, a delivery task is constructed according to the cargo information and the comparison result, including: determining the volume of goods to be delivered from the goods information; when the comparison result shows that the passing road section allows the multi-cabin robot to pass: when the volume of the goods to be distributed is larger than the volume of the double-compartment robot, constructing a distribution task of the multi-compartment robot; when the volume of the goods to be distributed is smaller than that of the double-compartment robot but larger than that of the single-compartment robot, constructing a distribution task of the double-compartment robot; and when the volume of the goods to be distributed is smaller than the volume of the single-compartment robot, constructing a distribution task of the single-compartment robot.
It should be noted that, because the capacity of the lattice robot for bearing the weight is strong, and any kind of lattice robot for general goods can bear and transport the goods, the embodiment of the present disclosure only considers the relationship between the volume of the goods to be delivered and the volume of the lattice robot. Since there are too many kinds of multi-bay robots, such as four-bay robots and six-bay robots, etc., but since in practice it is found that four-bay robots are generally sufficient to distribute the largest cargo, the multi-bay robots in the following example are exemplified by four-bay robots, which is also for convenience of example.
For example, in an office area, goods to be delivered need to be delivered from a first floor to a sixth floor, because the corridor section is wide, only the section information of the elevator section is considered for this delivery. The volume of goods to be delivered is 2 cubic meters, the volume of a single-compartment robot is 1 cubic meter, the volume of a double-compartment robot is 2 cubic meters, and the volume of a multi-compartment robot is 4 cubic meters. Firstly, comparing the road section information with the structure information, wherein the obtained comparison result shows that the elevator road section allows the multi-cabin-grid robot to pass; and then comparing the volume of the goods to be delivered with the volume of the double-compartment robot, finding that the volume of the goods to be delivered is 2 cubic meters, and the volume of the double-compartment robot is 2 cubic meters, and using the double-compartment robot to deliver the goods to be delivered is just proper, so that a double-compartment robot delivery task is constructed.
In step S203, a delivery task is constructed according to the cargo information and the comparison result, including: determining the volume of goods to be delivered from the goods information; when the comparison result shows that the passing road section does not allow the multi-compartment robot to pass but allows the double-compartment robot to pass: when the volume of the goods to be distributed is smaller than that of the double-compartment robot but larger than that of the single-compartment robot, constructing a distribution task of the double-compartment robot; and when the volume of the goods to be distributed is smaller than the volume of the single-compartment robot, constructing a distribution task of the single-compartment robot.
For example, in an office area, goods to be delivered need to be delivered from a first floor area a to a first floor area E, and because the goods are delivered on the same floor, only the road information of the corridor road is considered in the delivery. The volume of goods to be delivered is 3 cubic meters, the volume of a single-compartment robot is 1 cubic meter, the volume of a double-compartment robot is 2 cubic meters, and the volume of a multi-compartment robot is 4 cubic meters. Firstly, comparing road section information with structure information, wherein the obtained comparison result shows that the corridor road section allows the multi-compartment robot to pass (the corridor road section allows the multi-compartment robot to pass, which indicates that the single-compartment robot, the double-compartment robot and the multi-compartment robot can pass on the corridor road section); then comparing the volume of the goods to be delivered with the volume of the double-cabin-grid robot, finding that the volume of the goods to be delivered is 3 cubic meters, is 2 cubic meters larger than the volume of the double-cabin-grid robot, but is 4 cubic meters smaller than the volume of the multi-cabin-grid robot, and most suitably delivering the goods to be delivered by using the multi-cabin-grid robot, so that a multi-cabin-grid robot delivery task is constructed.
In step S203, a delivery task is constructed according to the cargo information and the comparison result, including: and when the comparison result shows that the passing road section does not allow the double-compartment robot to pass, constructing a single-compartment robot delivery task.
For example, goods to be delivered need to be delivered from a first floor area a to a sixth floor area E in an office area, and the delivery needs to consider the road information of elevator roads and the road information of corridor roads. The volume of goods to be delivered is 0.5 cubic meter, the volume of a single-compartment robot is 1 cubic meter, the volume of a double-compartment robot is 2 cubic meters, and the volume of a multi-compartment robot is 4 cubic meters. Firstly, comparing the road section information with the structure information, wherein the obtained comparison result shows that the elevator road section does not allow the double-compartment robot to pass through, the corridor road section allows the multi-compartment robot to pass through, and the two are combined, so that the current passing road section does not allow the double-compartment robot to pass through; it is most appropriate to deliver the cargo to be delivered only using the single-bay robot, so that the single-bay robot delivery task is constructed.
After step S202 is performed, that is, structural information of the lattice robot and cargo information of the cargo to be delivered are acquired, wherein the lattice robot includes: after the single-compartment robot, the double-compartment robot and the multi-compartment robot, the method further comprises: constructing a complex distribution task based on the road section information, the structure information and the cargo information, wherein the complex distribution task is a task for distributing the cargo to be distributed by using various compartment robots; according to the complex distribution task, a plurality of target robots are determined from the single-compartment robot, the double-compartment robot and the multi-compartment robot, and distribution of goods to be distributed in the office area is completed through the plurality of target robots.
In some special cases, the single-compartment robot, the double-compartment robot and the multi-compartment robot may be required to cooperatively deliver, for example, one single-compartment robot and one multi-compartment robot are required in one delivery, and the complex delivery task is to solve the delivery in such a case.
For example, goods to be delivered need to be delivered from a first floor area a to a sixth floor area E in an office area, and the delivery needs to consider the road information of elevator roads and the road information of corridor roads. The goods to be delivered are three, the volumes of the three goods are 0.5 cubic meter, 1 cubic meter and 3 cubic meters respectively, the volume of the single-compartment robot is 1 cubic meter, the volume of the double-compartment robot is 2 cubic meters, and the volume of the multi-compartment robot is 4 cubic meters. Firstly, comparing the road section information with the structure information, wherein the obtained comparison result shows that the passing road section allows the multi-compartment robot to pass through, the corridor road section allows the multi-compartment robot to pass through, and the two are combined, so that the passing road section at this time allows the multi-compartment robot to pass through; constructing complex distribution tasks, the most reasonable should be: using a single-bay robot and a multi-bay robot to deliver the batch of goods to be delivered; a single-bay robot and a multi-bay robot are determined from the plurality of single-bay robots, the plurality of double-bay robots, and the plurality of multi-bay robots for delivering the batch of goods to be delivered.
In step S204, according to the distribution task, a target robot is determined from the single-compartment robot, the double-compartment robot, and the multi-compartment robot, and distribution of goods to be distributed in the office area is completed by the target robot, including: when the distribution task is a distribution task of the multi-compartment robot, the multi-compartment robot is constructed by using a plurality of single-compartment robots and/or a plurality of double-compartment robots, the multi-compartment robot is determined as a target robot, and distribution of goods to be distributed in an office area is completed through the multi-compartment robot; when the distribution task is a double-compartment robot distribution task, a plurality of single-compartment robots are used for building a double-compartment robot, the double-compartment robot is determined to be a target robot, and distribution of goods to be distributed in an office area is completed through the double-compartment robot; and when the distribution task is the distribution task of the single-compartment robot, the single-compartment robot is determined as a target robot, and the distribution of goods to be distributed in the office area is completed through the single-compartment robot.
In order to fully utilize each bay robot, the bay robots provided by the embodiment of the present disclosure may be combined or disassembled, for example, two single bay robots are combined to obtain a double bay robot, four single bay robots are combined or two double bay robots are combined or two single bay robots and one double bay robot are combined to obtain a multi-bay robot (four bay robot); for another example, a four-compartment robot can be split into four single-compartment robots, two double-compartment robots, or two single-compartment robots and one double-compartment robot.
All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.
Fig. 3 is a schematic diagram of a cargo distribution device of a bay robot in an office area according to an embodiment of the present disclosure. As shown in fig. 3, the cargo distribution apparatus of the shelf robot in the office area includes:
a first obtaining module 301 configured to obtain link information of a traffic link in an office area, where the traffic link includes: elevator and corridor sections;
a second obtaining module 302 configured to obtain structural information of the lattice robot and cargo information of the cargo to be delivered, wherein the lattice robot includes: a single-compartment robot, a double-compartment robot and a multi-compartment robot;
a building module 303 configured to build a delivery task based on the road section information, the structure information, and the cargo information, wherein the delivery task includes: the method comprises the following steps that single-compartment robot distribution tasks, double-compartment robot distribution tasks and multi-compartment robot distribution tasks are carried out;
and a delivery module 304 configured to determine a target robot from the single-compartment robot, the double-compartment robot and the multi-compartment robot according to a delivery task, and to complete delivery of goods to be delivered in the office area through the target robot.
Link information including: the real-time traffic condition is the number of pedestrians and robots passing through the road section at the current moment. The structural information may be understood as a mathematical model of the lattice robot or a set of parameters representing the structure of the lattice robot. Cargo information of cargo to be delivered, comprising: the volume, weight, delivery address of the goods to be delivered, the deadline for completion of the delivery, etc. The single-compartment robot is a robot with only one compartment, and the number of the compartments of the multi-compartment robot is more than two and is an even number. The constructed distribution tasks include cargo information, information of the target robot, and a distribution path, wherein the distribution path is constructed based on road section information, structure information, and a map of an office area, and since the robot path planning is not a key point of the embodiment of the present disclosure, it is not described herein again. The goods to be delivered may be for delivery, take-out, or the like.
According to the technical scheme provided by the embodiment of the disclosure, the road section information of the passing road section in the office area is acquired, wherein the passing road section comprises the following steps: elevator and corridor sections; acquire compartment check robot's structural information and the goods information of goods of waiting to deliver, wherein, compartment check robot includes: a single-compartment robot, a double-compartment robot and a multi-compartment robot; constructing a delivery task based on the road section information, the structure information and the cargo information, wherein the delivery task comprises the following steps: the method comprises the following steps that single-compartment robot distribution tasks, double-compartment robot distribution tasks and multi-compartment robot distribution tasks are carried out; according to the distribution task, a target robot is determined from the single-compartment robot, the double-compartment robot and the multi-compartment robot, and distribution of goods to be distributed in the office area is completed through the target robot. By adopting the technical means, the problem that the robot delivers goods with low efficiency due to the fact that the size of the delivered goods is random in the prior art can be solved, and then the efficiency of delivering goods by the robot is improved.
Optionally, the building module 303 is further configured to perform single-compartment robot delivery tasks, double-compartment robot delivery tasks, and multi-compartment robot delivery tasks, including: comparing the road section information with the structure information, and determining a comparison result, wherein the comparison result comprises: the passing road section allows the single-compartment robot to pass, the passing road section allows the double-compartment robot to pass, and the passing road section allows the multi-compartment robot to pass; and constructing a delivery task according to the cargo information and the comparison result, wherein the delivery task comprises the following steps: the system comprises a single-compartment robot distribution task, a double-compartment robot distribution task and a multi-compartment robot distribution task.
Comparing the section information with the structure information can be understood as judging which compartment robot is allowed to pass through the passing section. The single-compartment robot distribution task is a distribution task for distributing goods to be distributed in an office area by using one or more single-compartment robots; the double-compartment robot distribution task is a distribution task for distributing goods to be distributed in an office area by using one or more double-compartment robots; the multi-bay robot distribution task is a distribution task for distributing goods to be distributed in an office area using one or more multi-bay robots. And constructing a distribution task according to the cargo information and the comparison result as long as the distribution task is according to the volume of the cargo to be distributed. If the comparison result shows that the passing road section is wide and allows the multi-compartment robot to pass through, the goods to be delivered are delivered by the single-compartment robot if the goods to be delivered are small pieces, are delivered by the double-compartment robot if the goods to be delivered are medium pieces, and are delivered by the multi-compartment robot if the goods to be delivered are large pieces. The small pieces, the middle pieces and the large pieces correspond to goods which can be distributed by the single-compartment robot, the double-compartment robot and the multi-compartment robot respectively.
Optionally, the building module 303 is further configured to determine the volume of the goods to be delivered from the goods information; when the comparison result shows that the passing road section allows the multi-cabin robot to pass: when the volume of the goods to be distributed is larger than the volume of the double-compartment robot, constructing a distribution task of the multi-compartment robot; when the volume of the goods to be distributed is smaller than that of the double-compartment robot but larger than that of the single-compartment robot, constructing a distribution task of the double-compartment robot; and when the volume of the goods to be distributed is smaller than the volume of the single-compartment robot, constructing a distribution task of the single-compartment robot.
It should be noted that, because the capacity of the lattice robot for bearing the weight is strong, and any kind of lattice robot for general goods can bear and transport the goods, the embodiment of the present disclosure only considers the relationship between the volume of the goods to be delivered and the volume of the lattice robot. Since there are too many kinds of multi-bay robots, such as four-bay robots and six-bay robots, etc., but since in practice it is found that four-bay robots are generally sufficient to distribute the largest cargo, the multi-bay robots in the following example are exemplified by four-bay robots, which is also for convenience of example.
For example, in an office area, goods to be delivered need to be delivered from a first floor to a sixth floor, because the corridor section is wide, only the section information of the elevator section is considered for this delivery. The volume of goods to be delivered is 2 cubic meters, the volume of a single-compartment robot is 1 cubic meter, the volume of a double-compartment robot is 2 cubic meters, and the volume of a multi-compartment robot is 4 cubic meters. Firstly, comparing the road section information with the structure information, wherein the obtained comparison result shows that the elevator road section allows the multi-cabin-grid robot to pass; and then comparing the volume of the goods to be delivered with the volume of the double-compartment robot, finding that the volume of the goods to be delivered is 2 cubic meters, and the volume of the double-compartment robot is 2 cubic meters, and using the double-compartment robot to deliver the goods to be delivered is just proper, so that a double-compartment robot delivery task is constructed.
Optionally, the building module 303 is further configured to determine the volume of the goods to be delivered from the goods information; when the comparison result shows that the passing road section does not allow the multi-compartment robot to pass but allows the double-compartment robot to pass: when the volume of the goods to be distributed is smaller than that of the double-compartment robot but larger than that of the single-compartment robot, constructing a distribution task of the double-compartment robot; and when the volume of the goods to be distributed is smaller than the volume of the single-compartment robot, constructing a distribution task of the single-compartment robot.
For example, in an office area, goods to be delivered need to be delivered from a first floor area a to a first floor area E, and because the goods are delivered on the same floor, only the road information of the corridor road is considered in the delivery. The volume of goods to be delivered is 3 cubic meters, the volume of a single-compartment robot is 1 cubic meter, the volume of a double-compartment robot is 2 cubic meters, and the volume of a multi-compartment robot is 4 cubic meters. Firstly, comparing road section information with structure information, wherein the obtained comparison result shows that the corridor road section allows the multi-compartment robot to pass (the corridor road section allows the multi-compartment robot to pass, which indicates that the single-compartment robot, the double-compartment robot and the multi-compartment robot can pass on the corridor road section); then comparing the volume of the goods to be delivered with the volume of the double-cabin-grid robot, finding that the volume of the goods to be delivered is 3 cubic meters, is 2 cubic meters larger than the volume of the double-cabin-grid robot, but is 4 cubic meters smaller than the volume of the multi-cabin-grid robot, and most suitably delivering the goods to be delivered by using the multi-cabin-grid robot, so that a multi-cabin-grid robot delivery task is constructed.
Optionally, the building module 303 is further configured to build the single-compartment robot delivery task when the comparison result indicates that the passage road section does not allow the double-compartment robot to pass.
For example, goods to be delivered need to be delivered from a first floor area a to a sixth floor area E in an office area, and the delivery needs to consider the road information of elevator roads and the road information of corridor roads. The volume of goods to be delivered is 0.5 cubic meter, the volume of a single-compartment robot is 1 cubic meter, the volume of a double-compartment robot is 2 cubic meters, and the volume of a multi-compartment robot is 4 cubic meters. Firstly, comparing the road section information with the structure information, wherein the obtained comparison result shows that the elevator road section does not allow the double-compartment robot to pass through, the corridor road section allows the multi-compartment robot to pass through, and the two are combined, so that the current passing road section does not allow the double-compartment robot to pass through; it is most appropriate to deliver the cargo to be delivered only using the single-bay robot, so that the single-bay robot delivery task is constructed.
Optionally, after the building module 303 is further configured as a single-compartment robot, a double-compartment robot and a multi-compartment robot, the method further comprises: constructing a complex distribution task based on the road section information, the structure information and the cargo information, wherein the complex distribution task is a task for distributing the cargo to be distributed by using various compartment robots; according to the complex distribution task, a plurality of target robots are determined from the single-compartment robot, the double-compartment robot and the multi-compartment robot, and distribution of goods to be distributed in the office area is completed through the plurality of target robots.
In some special cases, the single-compartment robot, the double-compartment robot and the multi-compartment robot may be required to cooperatively deliver, for example, one single-compartment robot and one multi-compartment robot are required in one delivery, and the complex delivery task is to solve the delivery in such a case.
For example, goods to be delivered need to be delivered from a first floor area a to a sixth floor area E in an office area, and the delivery needs to consider the road information of elevator roads and the road information of corridor roads. The goods to be delivered are three, the volumes of the three goods are 0.5 cubic meter, 1 cubic meter and 3 cubic meters respectively, the volume of the single-compartment robot is 1 cubic meter, the volume of the double-compartment robot is 2 cubic meters, and the volume of the multi-compartment robot is 4 cubic meters. Firstly, comparing the road section information with the structure information, wherein the obtained comparison result shows that the passing road section allows the multi-compartment robot to pass through, the corridor road section allows the multi-compartment robot to pass through, and the two are combined, so that the passing road section at this time allows the multi-compartment robot to pass through; constructing complex distribution tasks, the most reasonable should be: using a single-bay robot and a multi-bay robot to deliver the batch of goods to be delivered; a single-bay robot and a multi-bay robot are determined from the plurality of single-bay robots, the plurality of double-bay robots, and the plurality of multi-bay robots for delivering the batch of goods to be delivered.
Optionally, the distribution module 304 is further configured to, when the distribution task is a multi-compartment robot distribution task, use a plurality of single-compartment robots and/or a plurality of double-compartment robots to construct a multi-compartment robot, determine the multi-compartment robot as a target robot, and complete distribution of goods to be distributed in the office area by the multi-compartment robot; when the distribution task is a double-compartment robot distribution task, a plurality of single-compartment robots are used for building a double-compartment robot, the double-compartment robot is determined to be a target robot, and distribution of goods to be distributed in an office area is completed through the double-compartment robot; and when the distribution task is the distribution task of the single-compartment robot, the single-compartment robot is determined as a target robot, and the distribution of goods to be distributed in the office area is completed through the single-compartment robot.
In order to fully utilize each bay robot, the bay robots provided by the embodiment of the present disclosure may be combined or disassembled, for example, two single bay robots are combined to obtain a double bay robot, four single bay robots are combined or two double bay robots are combined or two single bay robots and one double bay robot are combined to obtain a multi-bay robot (four bay robot); for another example, a four-compartment robot can be split into four single-compartment robots, two double-compartment robots, or two single-compartment robots and one double-compartment robot.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.
Fig. 4 is a schematic diagram of an electronic device 4 provided by the embodiment of the present disclosure. As shown in fig. 4, the electronic apparatus 4 of this embodiment includes: a processor 401, a memory 402 and a computer program 403 stored in the memory 402 and executable on the processor 401. The steps in the various method embodiments described above are implemented when the processor 401 executes the computer program 403. Alternatively, the processor 401 implements the functions of the respective modules/units in the above-described respective apparatus embodiments when executing the computer program 403.
Illustratively, the computer program 403 may be partitioned into one or more modules/units, which are stored in the memory 402 and executed by the processor 401 to accomplish the present disclosure. One or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 403 in the electronic device 4.
The electronic device 4 may be a desktop computer, a notebook, a palm computer, a cloud server, or other electronic devices. The electronic device 4 may include, but is not limited to, a processor 401 and a memory 402. Those skilled in the art will appreciate that fig. 4 is merely an example of the electronic device 4, and does not constitute a limitation of the electronic device 4, and may include more or less components than those shown, or combine certain components, or different components, e.g., the electronic device may also include input-output devices, network access devices, buses, etc.
The Processor 401 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 402 may be an internal storage unit of the electronic device 4, for example, a hard disk or a memory of the electronic device 4. The memory 402 may also be an external storage device of the electronic device 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the electronic device 4. Further, the memory 402 may also include both internal storage units of the electronic device 4 and external storage devices. The memory 402 is used for storing computer programs and other programs and data required by the electronic device. The memory 402 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
In the embodiments provided in the present disclosure, it should be understood that the disclosed apparatus/electronic device and method may be implemented in other ways. For example, the above-described apparatus/electronic device embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logical function, and may be implemented in other ways, and multiple units or components may be combined or integrated into another system, or some features may be omitted or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, the present disclosure may implement all or part of the flow of the method in the above embodiments, and may also be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the above methods and embodiments. The computer program may comprise computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain suitable additions or additions that may be required in accordance with legislative and patent practices within the jurisdiction, for example, in some jurisdictions, computer readable media may not include electrical carrier signals or telecommunications signals in accordance with legislative and patent practices.
The above examples are only intended to illustrate the technical solutions of the present disclosure, not to limit them; although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present disclosure, and are intended to be included within the scope of the present disclosure.
Claims (10)
1. A cargo distribution method for a bay robot in an office area, comprising:
acquiring road section information of a passing road section in an office area, wherein the passing road section comprises: elevator and corridor sections;
acquiring structure information of the lattice robot and cargo information of cargos to be delivered, wherein the lattice robot comprises: a single-compartment robot, a double-compartment robot and a multi-compartment robot;
constructing a delivery task based on the road section information, the structure information and the cargo information, wherein the delivery task comprises: the method comprises the following steps that single-compartment robot distribution tasks, double-compartment robot distribution tasks and multi-compartment robot distribution tasks are carried out;
and according to the distribution task, determining a target robot from the single-compartment robot, the double-compartment robot and the multi-compartment robot, and completing distribution of the goods to be distributed in the office area through the target robot.
2. The method of claim 1, wherein the building of the delivery task based on the road segment information, the structure information, and the cargo information, wherein the delivery task comprises: single check robot delivery task, two check robot delivery tasks and many check robot delivery tasks include:
comparing the road section information with the structure information, and determining a comparison result, wherein the comparison result comprises: the passing section allows the single-compartment robot to pass through, the passing section allows the double-compartment robot to pass through, and the passing section allows the multi-compartment robot to pass through;
constructing the delivery task according to the cargo information and the comparison result, wherein the delivery task comprises: the system comprises a single-compartment robot distribution task, a double-compartment robot distribution task and a multi-compartment robot distribution task.
3. The method of claim 2, wherein said constructing the delivery task based on the cargo information and the comparison comprises:
determining the volume of the goods to be delivered from the goods information;
when the comparison result indicates that the passing road section allows the multi-compartment robot to pass:
when the volume of the goods to be delivered is larger than the volume of the double-compartment robot, constructing a multi-compartment robot delivery task;
when the volume of the goods to be delivered is smaller than the volume of the double-compartment robot but larger than the volume of the single-compartment robot, constructing a delivery task of the double-compartment robot;
and when the volume of the goods to be delivered is smaller than the volume of the single-compartment robot, constructing a delivery task of the single-compartment robot.
4. The method of claim 2, wherein said constructing the delivery task based on the cargo information and the comparison comprises:
determining the volume of the goods to be delivered from the goods information;
when the comparison result indicates that the passing road section does not allow the multi-compartment robot to pass through but allows the double-compartment robot to pass through:
when the volume of the goods to be delivered is smaller than the volume of the double-compartment robot but larger than the volume of the single-compartment robot, constructing a delivery task of the double-compartment robot;
and when the volume of the goods to be delivered is smaller than the volume of the single-compartment robot, constructing a delivery task of the single-compartment robot.
5. The method of claim 2, wherein said constructing the delivery task based on the cargo information and the comparison comprises:
and when the comparison result shows that the passing road section does not allow the double-compartment robot to pass, constructing the single-compartment robot delivery task.
6. The method of claim 1, wherein the obtaining of the structure information of the lattice robot and the cargo information of the cargo to be delivered, wherein the lattice robot comprises: after the single-compartment robot, the double-compartment robot and the multi-compartment robot, the method further comprises:
constructing a complex delivery task based on the road section information, the structure information and the cargo information, wherein the complex delivery task is a task of delivering the cargo to be delivered by using a plurality of cabin lattice robots;
according to the complex distribution task, a plurality of target robots are determined from the single-compartment robot, the double-compartment robot and the multi-compartment robot, and distribution of the goods to be distributed in the office area is completed through the plurality of target robots.
7. The method of claim 1, wherein said determining a target robot from among said single-bay robot, said dual-bay robot, and said multi-bay robot, according to said distribution task, by which distribution of said cargo to be distributed within said office area is accomplished, comprises:
when the distribution task is the distribution task of the multi-compartment robot, the multi-compartment robot is constructed by using a plurality of single-compartment robots and/or a plurality of double-compartment robots, the multi-compartment robot is determined to be the target robot, and the distribution of the goods to be distributed in the office area is completed through the multi-compartment robot;
when the distribution task is the distribution task of the double-compartment robot, the double-compartment robot is built by using a plurality of single-compartment robots, the double-compartment robot is determined as the target robot, and the distribution of the goods to be distributed in the office area is completed through the double-compartment robot;
and when the distribution task is the single-compartment robot distribution task, determining the single-compartment robot as the target robot, and finishing distribution of the goods to be distributed in the office area through the single-compartment robot.
8. A cargo distribution device for a bay robot in an office area, comprising:
the first acquisition module is configured to acquire section information of a traffic section in an office area, wherein the traffic section comprises: elevator and corridor sections;
a second obtaining module configured to obtain structural information of the lattice robot and cargo information of the cargo to be delivered, wherein the lattice robot includes: a single-compartment robot, a double-compartment robot and a multi-compartment robot;
a construction module configured to construct a delivery task based on the road section information, the structure information, and the cargo information, wherein the delivery task includes: the method comprises the following steps that single-compartment robot distribution tasks, double-compartment robot distribution tasks and multi-compartment robot distribution tasks are carried out;
a delivery module configured to determine a target robot from the single-bay robot, the double-bay robot, and the multi-bay robot according to the delivery task, and complete delivery of the goods to be delivered in the office area through the target robot.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111506247.7A CN114186932A (en) | 2021-12-10 | 2021-12-10 | Cargo distribution method and device for compartment grid robot in office area |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111506247.7A CN114186932A (en) | 2021-12-10 | 2021-12-10 | Cargo distribution method and device for compartment grid robot in office area |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114186932A true CN114186932A (en) | 2022-03-15 |
Family
ID=80543051
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111506247.7A Pending CN114186932A (en) | 2021-12-10 | 2021-12-10 | Cargo distribution method and device for compartment grid robot in office area |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114186932A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114936812A (en) * | 2022-07-25 | 2022-08-23 | 北京云迹科技股份有限公司 | Method and device for dispensing a robot for objects to be dispensed |
-
2021
- 2021-12-10 CN CN202111506247.7A patent/CN114186932A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114936812A (en) * | 2022-07-25 | 2022-08-23 | 北京云迹科技股份有限公司 | Method and device for dispensing a robot for objects to be dispensed |
| CN114936812B (en) * | 2022-07-25 | 2022-11-11 | 北京云迹科技股份有限公司 | Method and device for dispensing a robot for objects to be dispensed |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110371548B (en) | Goods warehousing method and device | |
| WO2019047432A1 (en) | Order processing method and apparatus | |
| CN111178810B (en) | Method and device for generating information | |
| CN108985671B (en) | Order processing method and device | |
| CN109345166B (en) | Method and apparatus for generating information | |
| CN114186932A (en) | Cargo distribution method and device for compartment grid robot in office area | |
| CN107944697A (en) | Thermally figure computational methods and system, server, medium based on relation between supply and demand | |
| CN114700957B (en) | Robot control method and device with low computational power requirement of model | |
| CN115204706A (en) | Robot distribution method and device | |
| CN115130911A (en) | Method and device for processing delivery tasks failed to execute by robot | |
| CN113919734A (en) | Order distribution method and device | |
| CN114936812B (en) | Method and device for dispensing a robot for objects to be dispensed | |
| CN114548717A (en) | Method and device for robot to distribute goods | |
| US20190057351A1 (en) | System and method for management of goods delivery | |
| CN112486033A (en) | Simulation test method and device for equipment | |
| CN112085359A (en) | Information generation method and device, electronic equipment and computer readable medium | |
| CN114862281B (en) | Method and device for generating task state diagram corresponding to accessory system | |
| CN114029962B (en) | Control method and device of robot based on business strategy | |
| CN106603604A (en) | Method and device of triggering transaction processing motion | |
| CN114393583B (en) | Method and device for controlling equipment through robot | |
| CN114881579A (en) | Method and device for determining distribution route | |
| CN111652531A (en) | Order scheduling method and device, electronic equipment and medium | |
| CN114565197B (en) | Method and device for generating operation path of unmanned vehicle | |
| CN115034684A (en) | Distribution method and device based on robot electric quantity and task | |
| CN114841615A (en) | Method and device for generating task progress of accessory robot |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: Room 702, 7th floor, NO.67, Beisihuan West Road, Haidian District, Beijing 100089 Applicant after: Beijing Yunji Technology Co.,Ltd. Address before: Room 702, 7th floor, NO.67, Beisihuan West Road, Haidian District, Beijing 100089 Applicant before: BEIJING YUNJI TECHNOLOGY Co.,Ltd. |
|
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |