CN108171875B - Intelligent goods distribution and delivery method and robot - Google Patents
Intelligent goods distribution and delivery method and robot Download PDFInfo
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- CN108171875B CN108171875B CN201711190882.2A CN201711190882A CN108171875B CN 108171875 B CN108171875 B CN 108171875B CN 201711190882 A CN201711190882 A CN 201711190882A CN 108171875 B CN108171875 B CN 108171875B
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F11/00—Coin-freed apparatus for dispensing, or the like, discrete articles
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- 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
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F11/00—Coin-freed apparatus for dispensing, or the like, discrete articles
- G07F11/46—Coin-freed apparatus for dispensing, or the like, discrete articles from movable storage containers or supports
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F11/00—Coin-freed apparatus for dispensing, or the like, discrete articles
- G07F11/72—Auxiliary equipment, e.g. for lighting cigars, opening bottles
Abstract
The embodiment of the invention relates to the field of intelligent terminals, and discloses an intelligent goods distribution and delivery method and a robot. The intelligent goods distribution method is applied to a robot, and the robot comprises the following components: the goods cabinet and the processor are arranged in a shell, the moving chassis is arranged below the shell, and the recognizer, the moving chassis and the processor are electrically connected; the intelligent goods distribution and delivery method comprises the steps that a processor receives an order instruction containing a distribution destination and goods to be distributed, and determines whether the goods to be distributed exist in a goods cabinet or not; the processor controls the mobile chassis to move when goods to be delivered exist in the goods cabinet; and the processor identifier receives whether the user identification information comes from the user sending the order instruction or not, and opens the goods cabinet after the verification is passed so that the user can take the delivered goods. The invention also provides a robot. Therefore, when a user needs to purchase goods, the shopping time cost of the user is saved, and meanwhile, the safety of the sent goods is ensured.
Description
Technical Field
The embodiment of the invention relates to the field of intelligent terminals, in particular to an intelligent goods distribution and delivery method and a robot.
Background
The inventor finds that the vending machines in the prior art are generally sold at fixed points, users firstly need to search the vending machines if the users want to buy goods, and complex environments such as stations and airports have large space and are inconvenient to search without destinations. Moreover, some selling scenes, such as office buildings, etc., are inconvenient for users to go out for shopping, so that the selling machines sold at fixed points cannot meet the requirements of the users. On the other hand, although there is a sales form such as takeout, the time and quality of goods are limited, and users who have a demand for time and quality cannot be satisfied.
Disclosure of Invention
The embodiment of the invention aims to provide an intelligent goods distribution and delivery method and a robot, so that when a user needs to purchase goods, the robot can distribute the goods required by the user to a target position of the user, self-service selling and matching are integrated, the shopping time cost of the user is saved, and meanwhile, the safety of the delivered goods is ensured.
In order to solve the technical problem, an embodiment of the present invention provides an intelligent delivery method, which is applied to a robot, where the robot includes: the goods cabinet and the processor are arranged in a shell, the moving chassis is arranged below the shell, and the identifier is electrically connected with the processor; the intelligent goods distribution method comprises the following steps: the processor receives an order instruction containing a delivery destination and goods to be delivered, and determines whether the goods to be delivered exist in the goods cabinet; when the goods to be delivered exist in the goods cabinet, the processor controls the mobile chassis to move, so that the robot moves to a delivery destination; and the processor verifies whether the biological identification characteristics received by the identifier belong to the user who sends the order instruction, and opens the goods cabinet after the verification is passed, so that the user can take the delivered goods.
Embodiments of the present invention also provide a robot including: the goods cabinet and the processor are arranged in a shell, and the moving chassis is arranged below the shell; and a controller, the identifier and the processor being electrically connected, the controller comprising a memory and a processor, wherein the memory stores a computer program that, when executed by the processor, enables the following steps to be carried out: receiving an order instruction containing a delivery destination and goods to be delivered, and determining whether the goods to be delivered exist in the goods cabinet; when the goods to be delivered exist in the goods cabinet, controlling the mobile chassis to move so that the robot moves to a delivery destination; and verifying whether the biological identification features from the identifier belong to the user who sends the order instruction, and opening the goods cabinet after the verification is passed so that the user can take the delivered goods.
Compared with the prior art, the implementation mode of the invention has the main differences and the effects that: the mobile robot capable of loading goods is combined by the mobile chassis, the goods cabinet, the identifier and the processor, appointed goods are delivered to a destination appointed by a user according to an order instruction, and meanwhile, when the destination is reached, the goods are verified again according to the biological identification characteristics of the user, the goods taking safety is ensured, and the goods are prevented from being taken by mistake. In the whole process, the user does not need to actively find the position of the robot, but the robot automatically moves to the destination, so that the time cost of the user in the shopping process is saved. Therefore, the intelligent goods distribution and delivery method and the robot in the embodiment of the invention can realize that the goods required by the user are distributed to the target position of the user when the user needs to purchase the goods, and the self-service selling and matching are integrated, thereby saving the shopping time cost of the user and ensuring the safety of the goods.
As a further improvement, after the determining whether the goods to be dispensed exist in the goods cabinet, the method further comprises: the processor controls the mobile chassis to move to a preset goods distribution point when the goods to be distributed do not exist in the goods cabinet; when the goods distribution point is reached and a door opening instruction is received, the processor opens the goods cabinet; and when a door closing instruction is received, the processor closes the goods cabinet and executes the step that the processor controls the mobile chassis to move to a delivery destination. The process of waiting for goods distribution to the distribution point is increased, the robot is facilitated to reduce articles contained in the goods cabinet, the robot moves with lighter weight as much as possible, the goods distribution point is matched with the application, and the types of goods allowed to be distributed are richer.
As a further improvement, the robot further includes an identifier for identifying the identification tag, and the distributed goods put in the goods cabinet have the identification tag; the determining whether the goods cabinet has the goods to be delivered specifically comprises: the processor determines whether the goods to be dispensed are present in the goods bin using information from the identifier. The articles placed in the goods cabinet are further limited to be identified by using a label identification technology, so that the identification is fast and accurate.
As a further improvement, a camera for shooting images inside the goods cabinet is arranged in the goods cabinet; the determining whether the goods cabinet has the goods to be delivered specifically comprises: the processor determines whether the goods to be delivered exist in the goods cabinet by using the image from the camera. The goods placed in the goods cabinet are identified by utilizing the image identification technology, so that the identification is quick and accurate.
As a further improvement, after the goods cabinet is opened after the verification is passed, the method further comprises the following steps: when a door closing instruction is received, the controller closes the goods cabinet; the controller controls the mobile chassis to move, so that the robot returns to a pre-appointed position. The step of returning to the appointed position is added, the robot can return to a certain position to wait after the distribution task is completed, the robot parking position can be managed conveniently, and the robot is prevented from blocking other moving objects in the space.
As a further improvement, after the controlling the moving chassis to move to the delivery destination and before the recognizer receives the biometric feature, the method further comprises: the robot sends arrival information to the user terminal. The step of sending the arrival information is added, so that the user is reminded of taking the commodity conveniently, and the time of the whole commodity selling process of the user is further reduced.
As a further refinement, the biometric characteristic comprises at least one of: at least one of a palm vein, a palm print, a face image, a fingerprint, and an iris. The content of the biometric features is further defined, facilitating the user to select a desired implementation.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
FIG. 1 is a flow chart of a method for intelligently distributing goods according to a first embodiment of the present invention;
FIG. 2 is a flow chart of a method for intelligently distributing goods according to a second embodiment of the present invention;
fig. 3 is a schematic view of a robot in an intelligent delivery method according to a third embodiment of the present invention;
fig. 4 is a schematic view of a robot according to a fourth embodiment of the invention;
fig. 5 is a flowchart executed by a computer program stored in a memory of the robot according to the fourth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, it will be appreciated by those of ordinary skill in the art that numerous technical details are set forth in order to provide a better understanding of the present application in various embodiments of the present invention. However, the technical solution claimed in the present application can be implemented without these technical details and various changes and modifications based on the following embodiments.
A first embodiment of the present invention relates to an intelligent delivery method. The intelligent goods delivery method in the embodiment is applied to a robot, and the robot comprises: the portable goods shelf comprises a movable chassis, a goods cabinet, an identifier and a processor, wherein the goods cabinet and the processor are arranged in a shell, the movable chassis (such as a trackless navigation movable chassis) is arranged below the shell, and the identifier is electrically connected with the processor. The robot can be placed in large-space selling places such as airports, stations and the like, and can also be placed in various places with commodity retail demands such as business buildings and the like. The corresponding flow is shown in fig. 1, and specifically as follows:
at step 101, a processor receives an order instruction.
Specifically, the robot further comprises a communication module, the communication module is used for receiving an order instruction from the user terminal, the communication module sends the order instruction to the processor, and the processor analyzes a delivery destination and goods to be delivered which are specifically contained in the order instruction after receiving the order instruction. In practical application, the user terminal can directly send the order instruction to the robot, and can also send the order instruction to the robot through the server.
Specifically, the goods cabinet of the robot is used for containing goods and can store some inventory goods in advance, when an order instruction is received, whether goods required to be ordered by a user are stored in the goods cabinet is confirmed from the existing goods in the goods cabinet, if the goods required to be ordered by the user are determined to be stored in the goods cabinet, the step 103 is continued, and if the goods required by the user are not stored in the goods cabinet, the flow is ended.
More specifically, the method for determining whether goods to be dispensed exist in the goods cabinet may be that the robot stores an inventory list, where the inventory list includes existing goods in the goods cabinet, for example, when adding goods to the goods cabinet, the robot may add goods items to the inventory list and sell goods from the goods cabinet, or may remove some goods from the goods cabinet and delete corresponding goods items from the inventory list.
And step 103, controlling the moving chassis to move by the processor.
Specifically, when goods to be delivered exist in the goods cabinet, the processor controls the moving chassis to move, so that the robot moves to a delivery destination.
The mobile chassis can move linearly or rotationally, so that the robot can move forward, turn, stop or reverse in a place where the robot is placed, and the robot can move to a delivery destination. More specifically, the robot may move according to a preset route during the moving process, and the preset route may be obtained as follows: after the delivery destination is determined, a route is preset according to the position of the robot and the pre-stored place map.
At step 104, the recognizer receives the biometric characteristic.
Specifically speaking, the recognizer can be arranged on the shell of the robot, for example, on the door of the goods cabinet, the scanning direction faces the outer side of the shell, or on the top end of the shell of the robot, the scanning direction faces the upper side, the arrangement position of the recognizer can be arranged according to the actual height of the robot or the application scene according to the requirements, and the limitation is not made herein.
More specifically, the biometric characteristic comprises at least one of: at least one of a palm vein, a palm print, a face image, a fingerprint, and an iris, and a palm vein may be used in this embodiment.
Specifically, when the palm vein of the user is scanned by the recognizer, the palm vein information is sent to the processor, and the processor verifies the palm vein. The specific verification method can be as follows: and when an order instruction is received, determining and storing palm vein information of the user according to a sender of the order instruction. And when the order is verified, comparing the received palm vein information with the prestored palm vein information, if the comparison result is in line, determining that the received palm vein belongs to the user sending the order instruction, otherwise, determining that the received palm vein does not belong to the order instruction.
Specifically, after the verification is passed in step 105, the controller opens the article cabinet for the user to take the delivered article. More specifically, the product cabinet may have a rotary-type door that rotates to open the product cabinet when opened. More specifically speaking, the rotation type is opened the door and is furnished with the electric control lock, and the electric control lock can be installed in the upper surface or the lower surface that open the door, and the electric control lock also is connected with the controller, and when confirming when opening the goods cabinet, the electric control lock received the unblock instruction and unlocks, and the rotation type is opened the door and is rotated and open again. The rotary door does not increase the additional occupied area of the robot, is more durable, and is convenient for the user to operate when taking commodities.
In practical application, the method further comprises the following settlement process: the wide-angle camera is arranged in the goods cabinet and used for transmitting the visual images of the commodities taken by the user to the processor to be identified by the identification algorithm engine in the processor, generating bills and automatically settling accounts after the goods cabinet is closed.
It is worth mentioning that when the user takes the originally ordered commodity, the user can also take other commodities, and the taken other commodities are taken as the newly ordered commodity of the user for later settlement.
Compared with the prior art, the main differences and effects of the present embodiment are as follows: the mobile robot capable of loading goods is combined by the mobile chassis, the goods cabinet, the identifier and the processor, appointed goods are delivered to a destination appointed by a user according to an order instruction, and meanwhile, when the destination is reached, the goods are verified again according to the biological identification characteristics of the user, the goods taking safety is ensured, and the goods are prevented from being taken by mistake. In the whole process, the user does not need to actively find the position of the robot, but the robot automatically moves to the destination, so that the time cost of the user in the shopping process is saved. Therefore, the intelligent goods distribution and delivery method in the embodiment can realize that the goods required by the user are distributed to the target position of the user when the user needs to purchase the goods, and the self-service selling and matching are integrated, so that the shopping time cost of the user is saved, and the safety of the goods delivered is ensured. And the user can not only order goods in advance and automatically deliver the goods by the robot, but also can directly shop on site according to the existing goods in the goods cabinet of the robot.
It should be noted that in this embodiment, the robot acquires the biometric feature of the user and verifies the door opening manner, but in practical application, the robot may also provide a barcode (two-dimensional code, barcode, etc.) including the robot identification information for the user to scan, the barcode carries a command for sending a door opening instruction, after the user scans, the robot is designated as the target of the door opening instruction according to the acquired robot identification information, and the door opening instruction carries the sender (i.e. the identification information of the user) for the robot to verify; and after receiving the door opening instruction, the robot confirms whether the door opening instruction comes from a user sending an order instruction, and if so, the robot opens the goods cabinet for the user to take the delivered goods. Therefore, the robot can plan the path by itself only needing to place an order on the personal handheld mobile terminal and send the commodity required by the user to the area where the user is located, and the technology can realize
A second embodiment of the present invention relates to an intelligent delivery method. The second embodiment is a further improvement on the first embodiment, and the main improvement is that: in the first embodiment, when it is determined that the goods to be delivered do not exist in the goods cabinet, the process is ended, but the step of actively delivering the goods is added in the embodiment, so that the goods in the goods cabinet can be added through the delivery even if the goods are not in the goods cabinet, and the delivery of the goods is realized by using the designated robot. In addition, the steps of closing the goods cabinet, returning the robot and the like are added, so that the robot can return to a certain position to wait after completing the distribution task, and the robot parking position can be managed conveniently.
The flowchart in the present embodiment is shown in fig. 2, and specifically includes the following steps:
And step 204, controlling the moving chassis to move by the processor, and moving the robot to a distribution point.
Specifically, a goods distribution point for replenishing goods can be preset for the robot, so that when the robot determines that goods to be distributed do not exist in the goods cabinet or the goods to be distributed are not uniform, the robot can move to the goods distribution point to replenish goods.
In step 205, when the goods distribution point is reached and the door opening instruction is received, the processor opens the goods cabinet.
Specifically, the processor determines whether the position of the goods cabinet reaches a preset distribution point, and also determines whether a door opening instruction is received, wherein the door opening instruction can be sent by an operation terminal of the distribution point, and when the door opening instruction is received, the processor opens the goods cabinet. If the goods distribution point is reached but the door opening instruction is not received, the robot can wait in place.
The specific goods distribution process is described by an example, an operator at the goods distribution point can be provided with an operation terminal, when the robot moves to the goods distribution point, the robot can display goods to be added through a display screen, or the goods to be added are sent to the operation terminal in advance, when the operator determines that the robot reaches the goods distribution point, the operator sends a door opening instruction to the robot, and when a goods cabinet of the robot is opened, the manual goods distribution is carried out according to a goods list to be added. In addition, can also be equipped with input device on the robot among the practical application, supply operating personnel to input the operation password, a certain specific operation password can correspond the instruction of opening the door of goods cabinet, and when the robot received this operation password, obtained the instruction of opening the door promptly, then opened the goods cabinet.
In step 206, the processor closes the shopping cabinet when receiving the door closing command.
Specifically, the receiving method of the door closing command may be similar to the door opening command, and may also be obtained through an input device of the robot, for example, the receiving method of the door closing command is not limited herein.
After the goods cabinet is closed, the step of the processor controlling the mobile chassis mobile robot to move to the delivery destination in step 203 is continuously performed, and then step 207 is performed.
In step 207, the robot sends the arrival information to the user terminal.
Specifically, when the robot moves to a delivery destination, arrival information is sent to the user terminal to remind the user that the ordered commodity arrives. After sending the arrival information, i.e., waiting in place, execution continues at step 208.
208 to 210 are similar to steps 104 to 106 of the first embodiment, and are not described again.
And step 211, when the door closing instruction is received, the controller closes the goods cabinet.
Specifically, this step is similar to step 206, but the sender of the door closing instruction is different, and the door closing instruction in this step may be from the user terminal or from a server correspondingly connected to the robot. In practical application, the goods cabinet can be closed after being opened for a plurality of minutes, so that the situation that the user forgets to close the goods cabinet after operating the opening is avoided.
In step 212, the controller controls the mobile chassis to move so that the robot returns to the predetermined position.
Specifically, the predetermined position may be a starting position of the robot, a position where the robot resides, or a vacant area such as a charging station or an unmanned area. Therefore, the robot can enter a standby mode and return to a starting point or a resident position, and the position of the robot is conveniently managed.
More specifically, this step enables the robot to return to the agreed position according to the cruise mode, wherein the cruise mode is: after the robot finishes goods distribution, a user shopping hot spot map is established according to historical shopping information through a built-in map, and then a return shopping hot spot route is established based on shopping hot spots through a route planning algorithm in a processor.
It is thus clear that the process of waiting for the distribution to the distribution point has been increased in this embodiment, does benefit to the robot and reduces the article that holds in the goods cabinet, removes with lighter weight as far as possible, and the application of cooperation distribution point can also make the commodity kind that allows the distribution richer. In addition, the step of returning to the appointed position is added, the robot can return to a certain position to wait after the distribution task is completed, the robot parking position can be managed conveniently, and the robot is prevented from blocking other moving objects in the space. Meanwhile, the step of sending the arrival information is added, so that the user is reminded of taking the commodity conveniently, and the time of the whole commodity selling process of the user is further reduced.
A third embodiment of the present invention relates to an intelligent delivery method. The third embodiment is substantially the same as the first embodiment, and mainly differs therefrom in that: in the first embodiment, the robot confirms the existing goods in the goods cabinet according to the pre-stored list. In the third embodiment of the present invention, the existing goods in the goods shelf are confirmed by using the image recognition technology. The method and the device have the advantages that the objects placed in the goods cabinet are identified by utilizing the image identification technology, so that the identification is quick and accurate, and the method and the device are more suitable for application scenes with variable objects.
Specifically, as shown in fig. 3, the article cabinet 3 of the present embodiment is provided with the camera 1 for capturing images inside the article cabinet, and the camera 1 is fixed on the layer plate 2 or the top plate of the article cabinet, and as the article cabinet 3 of fig. 3 has two layers, two cameras 1 may be provided, one is provided on the top plate for capturing images of goods in the upper layer article cabinet, and the other is provided on the lower bottom surface of the middle layer plate 2 for capturing images of goods in the lower layer article cabinet. In fig. 3, 4 indicates the door of the article cabinet 3, and 5 indicates the moving chassis.
Specifically, the goods cabinet is internally provided with a camera, video information shot by the camera is transmitted to the processor and is used for identifying goods displayed in the goods cabinet and storing the goods in the memory, and the processor is internally provided with a neural network algorithm identification engine for visual identification and is used for identifying the goods in the goods cabinet. That is, the robot recognizes the goods in the goods cabinet in advance through the image recognition technology, collects the goods into the stock information, and then confirms the goods existing in the goods cabinet according to the stock information.
In practical application, after a user issues an order shopping instruction through a handheld communication terminal, a robot receives the user shopping instruction sent by a remote server, determines a destination coordinate of the user, plans a walking route and simultaneously checks whether goods are to be delivered in system inventory; and if the system inventory has no goods to be delivered, automatically planning a route to a delivery point.
And when the robot moves to a delivery point, sending information with delivered goods to a deliverer terminal, and reminding the deliverer to fill up the goods. In practical applications, the commodity shelving process corresponding to the goods cabinet mentioned in the second embodiment may be used in combination with the image recognition technology in this embodiment, and specifically includes: the camera is used for shooting video images of commodities in the goods cabinet, the video images are processed by a neural network algorithm recognition engine in the processor, the commodities in the video images are detected, recognized and classified, and results are output; then, the robot receives a distribution door opening instruction (such as a distribution door opening instruction from a distributor), when goods are put on the shelf in the goods cabinet, the camera acquires video images in the goods cabinet, and stores all the identification goods information into system inventory.
In addition, another identification process can be provided in practical application, when the condition that whether goods to be delivered exist in the goods cabinet is determined, the processor utilizes the image from the camera to determine whether the goods to be delivered exist in the goods cabinet. More specifically, the processor may identify various items in the image based on colors, shapes, static objects, and moving objects in the image to determine a list of items stored in the item holder.
Therefore, the goods cabinet identification method and the goods cabinet identification device have the advantages that the goods placed in the goods cabinet are identified by the aid of the image identification technology, and identification is rapid and accurate.
A fourth embodiment of the present invention relates to a robot, as shown in fig. 4, including: the goods cabinet 3 and the processor 6 are arranged in a shell, and the moving chassis 5 is arranged below the shell; further comprising: the controller, the identifier 8 and the processor 6 are electrically connected, and the controller comprises a memory 7 and the processor 6. The memory 7 stores therein a computer program which, when executed by the processor 6, is capable of implementing the steps shown in fig. 5:
Specifically, in this step, according to the inventory list stored in the memory, the inventory list includes the existing goods in the goods cabinet, for example, when adding goods to the goods cabinet, the goods item can be added to the inventory list, and the goods sold from the goods cabinet, or some goods are taken out from the goods cabinet, and the corresponding goods item can be deleted from the inventory list.
The steps of the above methods are divided for clarity, and the implementation may be combined into one step or split some steps, and the steps are divided into multiple steps, so long as the same logical relationship is included, which are all within the protection scope of the present patent; it is within the scope of the patent to add insignificant modifications to the algorithms or processes or to introduce insignificant design changes to the core design without changing the algorithms or processes.
It should be understood that this embodiment is a system example corresponding to the first embodiment, and may be implemented in cooperation with the first embodiment. The related technical details mentioned in the first embodiment are still valid in this embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related-art details mentioned in the present embodiment can also be applied to the first embodiment.
A fifth embodiment of the present invention relates to a robot. The fifth embodiment is substantially the same as the fourth embodiment, and mainly differs therefrom in that: in the fourth embodiment, the existing goods in the goods cabinet are confirmed according to the pre-stored list. In the fifth embodiment of the present invention, the existing goods in the goods shelf are confirmed by using the image recognition technology. The method and the device have the advantages that the objects placed in the goods cabinet are identified by utilizing the image identification technology, so that the identification is quick and accurate, and the method and the device are more suitable for application scenes with variable objects.
When the controller determines whether the goods cabinet has the goods to be dispensed, the processor determines whether the goods cabinet has the goods to be dispensed using the information from the identifier. More specifically, the robot according to the present embodiment further includes: the camera is used for shooting images inside the goods cabinet; the controller determines whether goods to be delivered exist in the goods cabinet, and specifically comprises the following steps: the processor determines whether goods to be dispensed exist in the goods cabinet by using the image information from the camera.
It will be appreciated that the memory and processor are coupled in a bus, which may include any number of interconnected buses and bridges that couple one or more of the various circuits of the processor and memory together. The bus may also connect various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor is transmitted over a wireless medium via an antenna, which further receives the data and transmits the data to the processor.
The processor is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And the memory may be used to store data used by the processor in performing operations.
That is, as can be understood by those skilled in the art, all or part of the steps in the method according to the above embodiments may be implemented by a program instructing related hardware, where the program is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps in the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Since the third embodiment corresponds to the present embodiment, the present embodiment can be implemented in cooperation with the third embodiment. The related technical details mentioned in the third embodiment are still valid in this embodiment, and the technical effects that can be achieved in the third embodiment can also be achieved in this embodiment, and are not described herein again in order to reduce the repetition. Accordingly, the related-art details mentioned in the present embodiment can also be applied to the third embodiment.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples for carrying out the invention, and that various changes in form and details may be made therein without departing from the spirit and scope of the invention in practice.
Claims (8)
1. An intelligent delivery method, applied to a robot, the robot comprising: the goods cabinet and the processor are arranged in a shell, the moving chassis is arranged below the shell, and the moving chassis and the identifier are respectively and electrically connected with the processor;
the intelligent goods distribution method comprises the following steps:
the communication module receives an order instruction from the user terminal and sends the order instruction to the processor;
the processor receives an order instruction containing a delivery destination and goods to be delivered, and determines whether the goods to be delivered exist in the goods cabinet according to a stock list;
when the processor judges that the goods to be delivered exist in the goods cabinet, a route is preset according to a delivery destination and the position of the robot, a prestored place map is combined, the moving chassis is controlled to move according to the preset route, and the robot is made to move to the delivery destination;
the processor controls the mobile chassis to move to a goods distribution point for replenishing goods and sends a goods list needing to be added to an operation terminal of the goods distribution point when judging that the goods to be distributed do not exist in the goods cabinet; when the robot reaches a distribution point and receives a door opening instruction, the processor opens the goods cabinet, and the operation terminal distributes goods according to the commodity list needing to be added; when a door closing instruction is received, the processor closes the shopping cabinet and controls the mobile chassis mobile robot to move to a distribution destination;
the processor verifies whether the biological identification features received by the identifier come from the user sending the order instruction, and after the biological identification features are verified, the goods cabinet is opened for the user to take the delivered goods, wherein the delivered goods comprise the goods ordered by the user and/or other goods in the goods cabinet;
the goods cabinet is internally provided with a wide-angle camera, visual images of commodities taken by a user are transmitted to the processor to be identified by an identification algorithm engine in the processor, bills are generated, and automatic settlement is carried out after the goods cabinet is closed.
2. The intelligent delivery method according to claim 1, wherein before the opening of the goods cabinet for the user to take the delivered goods, the method further comprises:
receiving a door opening instruction;
opening the goods cabinet, supply the user to take delivery commodity specifically to be: and when the door opening instruction is confirmed to come from the user sending the order instruction, opening the goods cabinet for the user to take the delivered goods.
3. The intelligent shipment method of claim 1, wherein the biometric characteristic comprises at least one of: at least one of a palm vein, a palm print, a face image, a fingerprint, and an iris.
4. The intelligent distribution and delivery method according to claim 1, wherein a camera for taking an image of the inside of the goods cabinet is provided in the goods cabinet;
the determining whether the goods cabinet has the goods to be delivered specifically comprises: the processor determines whether the goods to be delivered exist in the goods cabinet by using the image from the camera.
5. The intelligent distribution method according to claim 1, further comprising, after opening the goods cabinet after the authentication is passed:
when a door closing instruction is received, the controller closes the goods cabinet;
the controller controls the mobile chassis to move, so that the robot returns to a pre-appointed position.
6. The intelligent distribution method of claim 5, wherein the pre-agreed location comprises: charging stations or idle areas.
7. The intelligent distribution method of claim 1, wherein after the controlling the mobile chassis to move to the distribution destination and before the identifier receives the biometric characteristic, further comprising:
the robot sends arrival information to the user terminal.
8. A robot, comprising: the goods cabinet and the processor are arranged in a shell, and the moving chassis is arranged below the shell; and a controller, the identifier and the processor being electrically connected, the controller comprising a memory and a processor, wherein the memory stores a computer program that, when executed by the processor, enables the following steps to be carried out:
receiving an order instruction containing a delivery destination and goods to be delivered from a user terminal, and determining whether the goods to be delivered exist in the goods cabinet according to a stock list;
when the goods to be delivered exist in the goods cabinet, a route is preset according to a delivery destination and the position of the robot, and a prestored place map is combined, the mobile chassis is controlled to move according to the preset route, and the robot is made to move to the delivery destination;
when the goods cabinet does not contain the goods to be delivered, controlling the mobile chassis to move to a goods distribution point for supplementing the goods, and sending a goods list needing to be added to an operation terminal of the goods distribution point; when the robot reaches a distribution point and receives a door opening instruction, the processor opens the goods cabinet, and the operation terminal distributes goods according to the commodity list needing to be added; when a door closing instruction is received, the processor closes the shopping cabinet and controls the mobile chassis mobile robot to move to a distribution destination;
verifying whether the biological identification features from the identifier belong to the user who sends the order instruction, and opening the goods cabinet after the verification is passed so that the user can take the delivered goods, wherein the delivered goods comprise the goods ordered by the user and/or other goods in the goods cabinet;
the goods cabinet is internally provided with a wide-angle camera, visual images of commodities taken by a user are transmitted to the processor to be identified by an identification algorithm engine in the processor, bills are generated, and automatic settlement is carried out after the goods cabinet is closed.
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