CN111445275A - Robot control method and device, robot and computer readable storage medium - Google Patents
Robot control method and device, robot and computer readable storage medium Download PDFInfo
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- CN111445275A CN111445275A CN201910044112.XA CN201910044112A CN111445275A CN 111445275 A CN111445275 A CN 111445275A CN 201910044112 A CN201910044112 A CN 201910044112A CN 111445275 A CN111445275 A CN 111445275A
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- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0255—Targeted advertisements based on user history
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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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- 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
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- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
-
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0281—Customer communication at a business location, e.g. providing product or service information, consulting
Abstract
The embodiment of the application provides a control method and device of a robot, the robot and a computer readable storage medium. The method comprises the following steps: detecting the working state of the robot; when the robot is in an idle state, acquiring user information and commodity sales information in different time periods in a preset area; when the robot is in a cruising state, acquiring user information and commodity sales information in different areas within different time periods; and controlling the robot according to the user information and the commodity sales information. According to the technical scheme provided by the embodiment, different user information and commodity sales information are acquired based on the idle state or the cruising state of the robot by identifying the idle state or the cruising state of the robot, and the robot is controlled differently according to the user information and the commodity sales information, so that the robot can execute different operations according to the sales conditions of different commodities, the sales are more targeted, and the quality and the efficiency of selling the commodities are improved.
Description
Technical Field
The present application relates to the field of robot technologies, and in particular, to a method and an apparatus for controlling a robot, and a computer-readable storage medium.
Background
With the rapid development of science and technology, robots gradually enter the lives of people. For example, robots are arranged in some places such as shopping malls, restaurants, banks, and office places to provide services such as answering questions, delivering meals, assisting offices, and selling commodities.
Currently, the existing robots generally cruise through a fixed route or stay at a certain position to perform corresponding operations, such as: the robot sells goods at a fixed location. However, the operation method such as the robot is not targeted, and the efficiency of selling goods is low, thereby affecting the sales of goods and the quality of service.
Disclosure of Invention
In view of the above, the present application is proposed to solve the above problems or at least partially solve the above problems, and a control method and apparatus for a robot, and a computer-readable storage medium.
Accordingly, in one embodiment of the present application, there is provided a control method of a robot, including:
detecting the working state of the robot;
when the robot is in an idle state, acquiring user information and commodity sales information in different time periods in a preset area;
when the robot is in a cruising state, acquiring user information and commodity sales information in different areas within different time periods;
and controlling the robot according to the user information and the commodity sales information.
In another embodiment of the present application, there is provided a control apparatus of a robot, including:
the detection module is used for detecting the working state of the robot;
the acquisition module is used for acquiring user information and commodity sales information in different time periods in a preset area when the robot is in an idle state; or when the robot is in a cruising state, acquiring user information and commodity sales information in different areas in different time periods;
and the control module is used for controlling the robot according to the user information and the commodity sales information.
In another embodiment of the present application, there is provided a robot including:
the detection equipment is used for detecting the working state of the robot;
the information acquisition equipment is in communication connection with the detection equipment and is used for acquiring user information and commodity sales information in different time periods in a preset area when the robot is in an idle state; or when the robot is in a cruising state, acquiring user information and commodity sales information in different areas in different time periods;
and the controller is in communication connection with the information acquisition equipment and is used for controlling the robot according to the user information and the commodity sales information.
In yet another embodiment of the present application, a computer readable storage medium storing computer instructions is provided for use in a robot, the computer instructions when executed by a processor cause the processor to perform acts comprising:
detecting the working state of the robot;
when the robot is in an idle state, acquiring user information and commodity sales information in different time periods in a preset area;
when the robot is in a cruising state, acquiring user information and commodity sales information in different areas within different time periods;
and controlling the robot according to the user information and the commodity sales information.
According to the technical scheme, the robot is in the idle state or the cruising state through recognition, different user information and commodity sales information are obtained based on the idle state or the cruising state of the robot, the accuracy and the reliability of obtaining the user information and the commodity sales information are effectively guaranteed, then, the robot is controlled differently according to the user information and the commodity sales information, the robot can perform different operations aiming at the sales conditions of different commodities, the sales is more targeted, the quality and the efficiency of the sold commodities are improved, the service quality is guaranteed, and the user experience is further improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a first flowchart of a control method of a robot according to an embodiment of the present disclosure;
fig. 2 is a second flowchart of a control method of a robot according to an embodiment of the present disclosure;
fig. 3 is a flowchart illustrating a control of a robot according to the user information and the merchandise sales information according to an embodiment of the present application;
fig. 4 is a flowchart of another robot control method according to an embodiment of the present disclosure;
fig. 5 is a schematic block diagram of a control device of a robot according to an embodiment of the present disclosure;
fig. 6 is a schematic block diagram of a robot implementation according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, and "a" and "an" generally include at least two, but do not exclude at least one, unless the context clearly dictates otherwise.
The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a good or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such good or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a commodity or system that includes the element.
In addition, the sequence of steps in each method embodiment described below is only an example and is not strictly limited.
Fig. 1 is a first flowchart of a control method of a robot according to an embodiment of the present disclosure; fig. 2 is a second flowchart of a control method of a robot according to an embodiment of the present disclosure; referring to fig. 1-2, the present embodiment provides a robot control method, the execution subject of the method may be a control device, the control device may be integrated on the robot, or the control device may be separately configured, in which case, the separately configured control device may be in communication connection with the robot so as to implement the control operation of the robot. Specifically, the control method may include:
s101: and detecting the working state of the robot.
The working state of the robot can comprise an idle state and a cruising state; an idle state may refer to a state in which the robot currently processes no tasks or processes fewer tasks, at which time the robot may reside in a certain area. The cruise state may refer to a state in which the robot currently has a processing task or the robot is in the process of performing a processing task, and at this time, the robot may move in a plurality of different areas.
In addition, the embodiment does not limit the specific detection mode of the working state of the robot, for example: the working parameters of the robot can be acquired, the working state of the robot is detected through the working parameters, and specifically, when the working parameters are within a first preset range, the robot can be determined to be in an idle state; when the working parameter is in a second preset range, the robot can be determined to be in a cruising state. Or the motion attitude information of the robot can be acquired, whether the robot is in a moving state or not is detected through the motion attitude information, if the robot is in the moving state through the motion attitude of the robot, the robot can be determined to be in a cruising state, and if the robot is not in an idle state, the robot is determined to be in the idle state. Of course, those skilled in the art may also adopt other methods to obtain the working state of the robot according to specific use requirements and design requirements, as long as the stability and reliability of obtaining the working state of the robot can be ensured, and details are not described herein.
S102: and when the robot is in an idle state, acquiring user information and commodity sales information in different time periods in a preset area.
When the robot is in idle state, the robot at this moment can reside in preset region to can acquire user information and commodity sales information in different time quantums in the preset region, specifically, can discern, record user flow, the user sex of purchasing certain or several kinds of goods, user information such as user age section in a period through collection equipment, wherein, collection equipment includes: a human detection sensor, a laser sensor, and an image sensor. In addition, the information of the types and the quantity of goods is obtained through at least one of the image sensor and the weighing sensor, and the commodity sales information such as the sales volume of one or more goods in a certain area in a period of time is recorded.
Wherein the user information may include at least one of: number of users, gender of users, height of users, age of users, etc.; the merchandise sales information may include at least one of: the number of commodities sold, the categories of commodities sold, the time of commodity sale, the probability of commodity sale, etc., it is understood that the commodities in this embodiment may refer to physical commodities, for example: clothing, shoes, appliances, etc.; alternatively, the commodity may be a virtual commodity, such as: consulting services, problem solving, and the like.
In addition, the embodiment does not limit the specific implementation manner of obtaining the user information and the commodity sales information, for example, one implementation manner is as follows: acquiring user information and commodity sales information in different preset areas; at this time, all user information and commodity sales information in different areas can be acquired within a preset certain time period; or, all the user information and the commodity sales information in different areas can be acquired in different time periods. Another way that can be achieved is: the user information and the commodity sales information are acquired in different preset time periods, and at this time, the acquired user information and the commodity sales information may belong to a certain preset area, or the acquired user information and the commodity sales information may belong to different areas. Yet another way to achieve this is: and acquiring all user information and commodity sales information in different areas in preset different time periods. In specific application, a person skilled in the art can select different implementation manners according to different application scenarios and use requirements, as long as the accuracy and reliability of the acquisition of the user information and the commodity sales information can be ensured, and further description is omitted here.
Specifically, when the user information and the commodity sales information are acquired, the user information and the commodity sales information may be acquired through at least one preset detection device, where the at least one detection device may be disposed on the robot. For example: in acquiring the user information, the user information may be acquired by a first detection device, the first detection device including at least one of: a human detection sensor, a laser sensor, and an image sensor. In acquiring the commodity sales information, the commodity sales information may be acquired by a second detection device, the second detection device including at least one of: weighing sensor, image sensor.
It will be appreciated that the first and second detection means may be the same detection means, for example: the first detection device and the second detection device are the same image sensor, and at the moment, the user information and the commodity sales information which are located in a certain area within a certain time period can be simultaneously identified and recorded through the image sensor. Specifically, the image sensor identifies a human body by a preset deep learning method or a machine learning method, and records attributes (including sex, age, height, and the like) of the human body, so as to acquire user information. In addition, the image sensor can acquire image information in real time, the image information comprises at least one commodity, and the commodity sales information of the commodity can be acquired by analyzing and identifying the acquired image information. Of course, the first detection device and the second detection device may be different detection devices, such as: the first detection means comprises a human detection sensor and a laser sensor, and the second detection means may comprise at least one of: weighing sensor, image sensor. In this case, the user information may be acquired by a signal indicating presence/absence of the user in the human motion sensor, and whether or not the user passes through the laser sensor may be determined by a change in section data of an angle in front of the robot. When a user triggers a shopping condition, the attributes of the purchasing crowd, the types of the purchased commodities and the quantity of the purchased commodities can be counted through at least one of the image sensor and the weighing sensor, so that the commodity sales information of a certain commodity or several commodities in a certain area in a certain preset time period can be acquired, and the commodity sales volume can be determined to be larger.
Further, in order to improve the accuracy of controlling the robot, the spatial position information of the robot may be obtained by a preset positioning device, or the current position information of the robot may be obtained by combining at least one of an image sensor and an odometer, such as: XX store vicinity, etc.
S103: when the robot is in a cruising state, user information and commodity sales information are acquired in different time periods in different areas.
When the robot is in a cruising state, the robot at the moment can move among different areas, so that user information and commodity sales information in different areas in different time periods can be acquired.
S104: and controlling the robot according to the user information and the commodity sales information.
In addition, after the user information and the commodity sales information are acquired, the user information and the commodity sales information may be analyzed and processed, and the robot may be controlled according to the analysis and processing result. For example: after the user information and the commodity sales information in the first area and the second area within a certain time period are acquired, the user information and the commodity sales information are analyzed to obtain: the number of users in the first area is large, the number of commodity sales is large, the number of users in the second area is small, the number of commodity sales is small, and at the moment, when the current position information of the robot is the second area, the robot can be controlled to move from the second area to the first area and assist in completing commodity sales operation; when the current position information of the robot is the first area, the robot can be controlled to assist in completing the commodity sales operation in the first area. For another example: in a first time period and a second time period, after user information and commodity sales information of a first area and a second area are obtained, the user information and the commodity sales information of the first area are smaller in the first time period, the user information and the commodity sales information of the second area are larger in the second time period, and at the moment, if the current position information of the robot is the first area, the robot can be controlled to move from the first area to the second area, so that the robot is positioned in the second area in the first time period to assist in completing commodity sales operation; in the second time period, the user information and the commodity sales information in the first area are larger, the user information and the commodity sales information in the second area are smaller, and if the robot is located in the second area, the robot can be controlled to move from the second area to the first area, so that the robot is located in the first area in the second time period to assist in completing commodity sales operation.
Of course, those skilled in the art may also use other manners to control the robot according to the user information and the commodity sales information, as long as the accuracy and reliability of controlling the robot can be ensured, which is not described herein again.
According to the control method of the robot, the robot is identified to be in the idle state or the cruising state, different user information and commodity sales information are obtained based on the idle state or the cruising state of the robot, the accuracy and the reliability of obtaining the user information and the commodity sales information are effectively guaranteed, then the robot is controlled differently according to the user information and the commodity sales information, the robot can execute different operations according to the sales conditions of different commodities, the sales are more targeted, the quality and the efficiency of selling the commodities are improved, the service quality is guaranteed, and the user experience is further improved.
Fig. 3 is a flowchart illustrating a control of a robot according to user information and merchandise sales information according to an embodiment of the present application; based on the foregoing embodiment, with reference to fig. 3, it can be seen that, in this embodiment, a specific implementation manner of controlling the robot according to the user information and the commodity sales information is not limited, and a person skilled in the art may select different implementation manners according to specific design requirements, and preferably, the controlling the robot according to the user information and the commodity sales information in this embodiment includes:
s1041: at least one target area is determined in different areas according to at least one of the user information and the commodity sales information.
Wherein the commodity sales information may include at least one of: the probability of selling a certain commodity or commodities in a specific area, the probability of selling a certain commodity or commodities in a specific time, the probability of purchasing a certain commodity or commodities by female/male customers in a specific area, and the probability of purchasing a certain commodity or commodities by female/male customers in a specific time. It can be understood that when the user information and the commodity sales information are large, the commodity sales probability is large, and when the user information and the commodity sales information are small, the commodity sales probability is small.
Specifically, after the user information and the commodity sales information in different areas are acquired, the user information and the commodity sales information in different areas can be analyzed and compared, so that at least one area is selected from the different areas to serve as a target area; the user information may include the number of users, and the commodity sales information may include commodity sales probability; at this time, the target region satisfies at least one of the following two conditions: the number of users in the target area is greater than the number of users in the other areas, and the commodity sales probability in the target area is greater than the commodity sales probability in the other areas.
S1042: at least one target time period is determined in different time periods according to at least one of the user information and the commodity sales information.
Specifically, after the user information and the commodity sales information in different time periods are acquired, the user information and the commodity sales information in different time periods can be analyzed and compared, so that at least one time period is selected as a target time period in different time periods; the user information comprises the number of users, and the commodity sales information comprises commodity sales probability; at this time, the target period satisfies at least one of the following two conditions: the number of users in the target time period is greater than the number of users in other time periods, and the commodity sales probability in the target time period is greater than the commodity sales probability in other time periods.
S1043: and controlling the robot to perform commodity selling operation in the target area within the target time period.
After the target time period and the target area are acquired, the target area and the target time period may be combined in time and place, and the time and place has at least one of the following characteristics: 1) the number of users within a target time period in the target area is large; 2) the probability of selling a certain commodity or several commodities in the target area is high; 3) in the target time period, the probability of selling certain or a plurality of commodities is higher; 4) in the target area, the probability that a female/male customer purchases a certain commodity or several commodities is high; 5) there is a greater probability that a female/male customer will purchase one or more items during the target time period. After the target time period and the target area are acquired, the robot can be controlled to move to the vicinity of the target area within the target time period to execute the operation of selling the specific commodity, so that the commodity selling efficiency is improved.
Further, in different time periods, if statistics of the commodity sales information in different areas are not clear or differ little, for example, the commodity sales probability in the first area is equivalent to the commodity sales probability level in the second area, at this time, the target area and the target time period may be determined only according to the user information, that is: the goods can be sold to an area where the user information is large in the target time period. Similarly, when the statistics of the user information in different time periods in different areas are not clear or differ much, for example: in a certain preset time period, the user information levels of the third area and the fourth area are equivalent, and at this time, the target area and the target time period can be determined only according to the commodity sales information, that is: and the robot can be controlled to be positioned in an area with larger commodity sales information to sell the goods within a preset time period. And after the actual sales information or the actual user information is acquired, the acquired statistical information can be updated according to the actual sales information or the actual user information so as to be convenient for accurate control of the robot, thereby further ensuring the quality and efficiency of the sales goods on the basis of meeting the demand of the user for purchasing the goods.
Fig. 4 is a flowchart of another robot control method according to an embodiment of the present disclosure; further, on the basis of the foregoing embodiment, with reference to fig. 4, it can be seen that the method in this embodiment may further include:
s201: and determining commodity demand information according to the commodity sales information, wherein the commodity demand information is in direct proportion to the commodity sales information.
The commodity demand information may include at least one of the following: single commodity demand information and overall commodity demand information; it can be understood that the single commodity demand information corresponds to a single commodity, and the overall commodity demand information corresponds to an overall commodity. In addition, the commodity demand information and the commodity sales information can satisfy a preset direct proportional relationship, and the direct proportional relationship can be as follows: and Px is commodity demand information, K is a preset proportionality coefficient, K is greater than 0, and Ps is commodity sales information. Alternatively, the direct proportional relationship may be: and Px is K + Ps + A, wherein Px is commodity demand information, K is a preset proportionality coefficient, K is greater than 0, Ps is commodity sales information, and A is a preset parameter.
S202: and controlling the robot according to the commodity demand information.
After commodity demand information is acquired, the robot can be controlled according to the commodity demand information, and specifically, controlling the robot according to the commodity demand information may include:
s2021: when at least one of the following two conditions is satisfied: and when the single commodity demand information is greater than or equal to a preset first threshold value and the whole commodity demand information is greater than or equal to a preset second threshold value, controlling the robot to carry out replenishment operation.
S2022: and when the single commodity demand information is smaller than a preset first threshold value and the whole commodity demand information is smaller than a preset second threshold value, controlling the robot to keep the current working state.
The first threshold value is used as the lowest reference value for judging whether the single commodity needs to be restocked; the second threshold value is used as the lowest reference value for judging whether the whole commodity needs to be restocked; the first threshold and the second threshold may be preset, and the specific numerical range is not limited in this embodiment, and those skilled in the art may set them according to specific use requirements. Specifically, when the robot is controlled according to the commodity demand information, an achievable way is as follows: when the single commodity demand information is greater than or equal to the first threshold value, it indicates that the number of the single commodities corresponding to the single commodity demand information is insufficient, and at this time, the single commodities corresponding to the single commodity demand information need to be subjected to replenishment operation, so that the robot can be controlled to perform replenishment operation.
Another way that can be achieved is: when the overall commodity demand information is greater than or equal to the second threshold value, it is indicated that the total amount of the overall commodity corresponding to the overall commodity demand information is insufficient, at this moment, the replenishment operation needs to be performed on the overall commodity corresponding to the overall commodity demand information, and then the robot can be controlled to perform the replenishment operation.
It can be understood that whether the quantity of a single commodity is sufficient or not and whether the quantity of the whole commodity is sufficient or not are not influenced; namely: when the total amount of the whole commodities is insufficient, the amount may be sufficient or insufficient for a single commodity. Generally, whether the whole commodity demand information is larger than or equal to a preset second threshold value or not can be judged, when the whole commodity demand information is larger than or equal to the second threshold value, the total quantity of the whole commodity is insufficient, and then the robot is controlled to carry out replenishment operation; when the overall commodity demand information is smaller than the second threshold value, the total amount of the overall commodities is sufficient, whether the number of single commodities is sufficient or not can be further judged, namely whether the single commodity demand information is larger than or equal to a preset first threshold value or not can be judged, if the single commodity demand information is larger than or equal to the first threshold value, the number of the single commodities is insufficient, and then the robot is controlled to carry out replenishment operation; if the single commodity demand information is smaller than the first threshold value, the quantity of the single commodities is sufficient, and the robot does not need to be controlled to carry out replenishment operation.
In the embodiment, the commodity demand information is determined through the commodity sales information, and the robot is controlled according to the commodity demand information, so that the defect that the judgment and processing mode of goods shortage and replenishment is not complete in the prior art can be effectively overcome, timely replenishment operation can be performed when goods shortage is found, the cost of manual operation is reduced, and the operation cost is further reduced.
Further, the controlling the robot to perform the replenishment operation in this embodiment may include:
s20211: at least one type of goods corresponding to the goods demand information is determined.
S20212: and when the robot is in an idle state, controlling the robot to carry out replenishment operation on the commodities.
The commodity needing replenishment may be a single commodity or an integral commodity, so that after the commodity needing replenishment is determined, at least one type of commodity needing replenishment can be determined according to commodity demand information; specifically, when the single commodity demand information is greater than or equal to the first threshold, it may be determined that at least one type of commodity that needs replenishment is a single commodity corresponding to the single commodity demand information. For example, the user information and the commodity sales information in the current time period and the work area of the robot are obtained through at least one of the weighing sensor and the image sensor, and the user information and the commodity sales information are analyzed to know that one or more single products in the current time period and the work area are good-selling commodities, and when one or more single products meet the replenishment condition, namely the single commodity demand information corresponding to the current commodity or several commodities is greater than or equal to a first threshold value, the total quantity of the short-supply commodities can be determined to be insufficient, so that the one or more single products can be determined to be commodities needing replenishment operation. When the overall commodity demand information is greater than or equal to the second threshold value, it may be determined that at least one type of commodity that needs replenishment is an overall commodity corresponding to the overall commodity demand information. After the goods needing replenishment are obtained, the robot can be controlled to perform replenishment operation on the goods.
Specifically, when the goods are needed to be restocked, if the robot is in an idle state, the robot can be controlled to immediately return to a restocking point to perform the goods restocking operation; or, if the robot is in the working state, waiting for a preset period of time, and returning to the replenishment point to perform the commodity replenishment operation when the working state of the standby robot is changed into the idle state. Specifically, when the robot is controlled to execute commodity replenishment operation, the pre-stored replenishment point position of a commodity to be replenished and the sales position of the commodity to be placed can be obtained, then the current position information of the robot is obtained, the robot is controlled to move to the replenishment point position from the current position information, the operation of extracting the commodity with the preset number is executed, the extracted commodity is returned to the sales position of the commodity, the commodity placement operation is executed, and therefore the commodity replenishment process is completed.
Furthermore, when the robot is controlled to carry out replenishment operation on the commodities, the current operation time and the current operation area of the robot and commodity sales information from previous replenishment to present can be obtained, and the robot is controlled to carry out replenishment operation on the commodities according to the information. Specifically, at least one of the current operation time and the operation area may be combined, and whether the replenishment operation is required may be determined according to the historical work data of the robot. For example: in the current operation time and the current operation area of the robot, the commodity sales information after the last replenishment is smaller, namely after the one-time commodity replenishment is executed, the commodity sales condition is poorer, and at the moment, the replenishment operation is not needed; or, in the current operation time and the current operation area of the robot, the sales condition of the commodity after the last replenishment is better, and one or more good commodities exist, at this time, the replenishment operation for the good commodity or the good commodities can be suggested, and the prompt information for the replenishment operation can be displayed.
Through the process, the commodity needing to be subjected to goods replenishment operation is effectively realized, and the robot can be controlled to timely perform the goods replenishment operation, so that the goods replenishment efficiency and pertinence are improved, the stability of the quantity of sold commodities is ensured, and the purchase demand of a user is met.
Further, the method in this embodiment may further include:
s301: controlling the robot to send prompt information, wherein the prompt information comprises at least one of the following information: voice prompt information, screen prompt information.
Wherein the prompt message may include at least one of: the first prompt message is used for selling commodities, and the second prompt message is used for notifying the replenishment operation. Specifically, when the prompt message is the first prompt message, the prompt message can be sent in a voice mode to realize the sale of one or more single products; alternatively, one or more single products can be sold in a screen display mode. When the prompt message is the second prompt message, the prompt message can be sent in a voice mode to prompt one or more single products to be sold successfully and suggest to carry out replenishment operation; or, one or more single products can be displayed in a screen prompting mode to be sold, and replenishment operation is recommended. Further, when the prompt information mode is screen prompt information, the robot at the time comprises a display screen, and different single products can be sequenced on the display screen according to the commodity sales information, so that commodity sequence reference information needing replenishment operation can be determined, and a user can predict commodities needing replenishment operation in the future.
In the embodiment, whether goods are out of stock can be identified through user information and goods sales information, wherein the out of stock comprises total out of stock and single goods out of stock; after the goods are determined to be out of stock, the robot can be controlled to execute corresponding goods replenishment operation; and at least one mode of voice and screen display is used for sending prompt information to the staff, so that the timeliness and the reliability of commodity replenishment are effectively improved, the commodity replenishment efficiency is ensured, the interactive experience is improved, the use stability and the reliability of the method are further improved, and the popularization and the application of the market are facilitated.
The technical solutions provided in the present application will be described below with reference to specific application scenarios to assist understanding.
The robot is in a mall or the like. In a certain time period of the morning, the number of users and the commodity sales volume of the fresh area and the vegetable area are large, and at the moment, the robot can be controlled to move to the fresh area and the vegetable area to assist in achieving commodity sales; in a certain time period in the afternoon, the commodity sales volume of the living goods area is large, and at the moment, the robot can be controlled to move to the living goods area to assist in achieving the commodity sales operation. Or, in a certain time period at night, the number of users in the food area is large, and at the moment, the robot can be controlled to move to the food area to assist in achieving the operation of selling commodities. In addition, after a period of time, due to the fact that the sales volume of some commodities is large, replenishment operation may need to be performed on the commodities or the whole commodities, and at this time, after commodity information needing the replenishment operation is obtained, when the robot is in an idle state, the robot can be controlled to perform timely replenishment operation on the commodities corresponding to the commodity information.
Fig. 5 is a schematic block diagram of a control device of a robot according to an embodiment of the present disclosure; referring to fig. 5, the present embodiment provides a control apparatus of a robot, including a detection module 11, an acquisition module 12, and a control module 13.
The detection module 11 is used for detecting the working state of the robot;
the acquisition module 12 is configured to acquire user information and commodity sales information in different time periods in a preset area when the robot is in an idle state; or when the robot is in a cruising state, acquiring user information and commodity sales information in different areas in different time periods;
and the control module 13 is used for controlling the robot according to the user information and the commodity sales information.
Alternatively, when the control module 13 controls the robot according to the user information and the merchandise sales information, the control module 13 may be configured to perform: determining at least one target area in different areas according to at least one of the user information and the commodity sales information; determining at least one target time period in different time periods according to at least one of the user information and the commodity sales information; and controlling the robot to perform commodity selling operation in the target area within the target time period.
The user information comprises the number of users, and the commodity sales information comprises commodity sales probability; the target area satisfies at least one of the following two conditions: the number of users in the target area is greater than the number of users in the other areas, and the commodity sales probability in the target area is greater than the commodity sales probability in the other areas.
In addition, the user information includes the number of users, and the commodity sales information includes commodity sales probability; the target time period satisfies at least one of the following two conditions: the number of users in the target time period is greater than the number of users in other time periods, and the commodity sales probability in the target time period is greater than the commodity sales probability in other time periods.
Further, the acquisition module 12 in the control device of the robot in the present embodiment includes a first detection sub-module for acquiring the user information, wherein the first detection sub-module includes at least one of: a human detection sensor, a laser sensor, and an image sensor.
In addition, the acquiring module 12 in the control device of the robot in the embodiment may further include a second detecting sub-module, which is configured to acquire the commodity sales information, and the second detecting sub-module includes at least one of: weighing sensor, image sensor.
Optionally, the control module 13 in this embodiment may be further configured to: determining commodity demand information according to the commodity sales information, wherein the commodity demand information is in direct proportion to the commodity sales information; and controlling the robot according to the commodity demand information.
Wherein, the commodity demand information comprises at least one of the following: single commodity demand information, and overall commodity demand information.
Optionally, when the control module 13 controls the robot according to the commodity demand information, the control module 13 may be further configured to perform: when at least one of the following two conditions is satisfied: when the single commodity demand information is greater than or equal to a preset first threshold value and the whole commodity demand information is greater than or equal to a preset second threshold value, controlling the robot to carry out replenishment operation; or when the single commodity demand information is smaller than a preset first threshold value and the whole commodity demand information is smaller than a preset second threshold value, controlling the robot to keep the current working state.
Wherein, when the control module 13 controls the robot to perform the replenishment operation, the control module 13 may further be configured to: determining at least one type of commodity corresponding to the commodity demand information; and when the robot is in an idle state, controlling the robot to carry out replenishment operation on the commodities.
Optionally, the control module 13 in this embodiment is further configured to: controlling the robot to send prompt information, wherein the prompt information comprises at least one of the following information: voice prompt information, screen prompt information.
The apparatus shown in fig. 5 can perform the method of the embodiment shown in fig. 1-4, and the detailed description of this embodiment can refer to the related description of the embodiment shown in fig. 1-4. The implementation process and technical effect of the technical solution refer to the descriptions in the embodiments shown in fig. 1 to fig. 4, and are not described herein again.
In one possible design, the control device of the robot shown in fig. 5 may be implemented as a robot, which may be various robot devices such as a floor sweeping robot, a vending robot, a consultation service robot, and the like. As shown in fig. 6, the robot may include: the method comprises the following steps: a detection device 21, an information acquisition device 22, and a controller 23. In particular, the method comprises the following steps of,
a detection device 21 for detecting the working state of the robot;
the information acquisition equipment 22 is in communication connection with the detection equipment 21 and is used for acquiring user information and commodity sales information in different time periods in a preset area when the robot is in an idle state; or when the robot is in a cruising state, acquiring user information and commodity sales information in different areas in different time periods;
and the controller 23 is in communication connection with the information acquisition equipment 22 and is used for controlling the robot according to the user information and the commodity sales information.
Optionally, the information collecting device 22 and the controller 23 are further configured to perform all or part of the steps in the embodiments of fig. 1-4 described above.
In addition, an embodiment of the present invention provides a computer-readable storage medium storing computer instructions, which are applied to a robot and used for storing computer software instructions for an electronic device, and when the computer instructions are executed by a processor, the processor is caused to execute a program related to a control method of the robot in the method embodiments shown in fig. 1 to 4.
The above-described embodiments of the apparatus are merely illustrative, and the 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 modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by adding a necessary general hardware platform, and of course, can also be implemented by a combination of hardware and software. With this understanding in mind, the above-described aspects and portions of the present technology which contribute substantially or in part to the prior art may be embodied in the form of a computer program product, which may be embodied on one or more computer-usable storage media having computer-usable program code embodied therein, including without limitation disk storage, CD-ROM, optical storage, and the like.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable mapping apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable mapping apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable mapping apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable mapping apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will 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; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (14)
1. A method for controlling a robot, comprising:
detecting the working state of the robot;
when the robot is in an idle state, acquiring user information and commodity sales information in different time periods in a preset area;
when the robot is in a cruising state, acquiring user information and commodity sales information in different areas within different time periods;
and controlling the robot according to the user information and the commodity sales information.
2. The method of claim 1, wherein controlling the robot based on the user information and the merchandise sales information comprises:
determining at least one target area in different areas according to at least one of the user information and the commodity sales information;
determining at least one target time period in different time periods according to at least one of the user information and the commodity sales information;
and controlling the robot to perform commodity selling operation in the target area in the target time period.
3. The method of claim 2, wherein the user information includes a number of users, and the commodity sales information includes a commodity sales probability; the target area satisfies at least one of the following two conditions:
the number of users in the target area is greater than the number of users in other areas, and the commodity sales probability in the target area is greater than the commodity sales probability in other areas.
4. The method of claim 2, wherein the user information includes a number of users, and the commodity sales information includes a commodity sales probability; the target time period satisfies at least one of the following two conditions:
the number of users in the target time period is greater than the number of users in other time periods, and the commodity sales probability in the target time period is greater than the commodity sales probability in other time periods.
5. The method according to any one of claims 1-4, wherein obtaining user information comprises:
acquiring the user information by using a first detection device, wherein the first detection device comprises at least one of the following devices: a human detection sensor, a laser sensor, and an image sensor.
6. The method of any one of claims 1 to 4, wherein obtaining merchandise sales information comprises:
acquiring the commodity sales information by using a second detection device, wherein the second detection device comprises at least one of the following devices: weighing sensor, image sensor.
7. The method according to any one of claims 1-4, further comprising:
determining the commodity demand information according to the commodity sales information, wherein the commodity demand information is in direct proportion to the commodity sales information;
and controlling the robot according to the commodity demand information.
8. The method of claim 7, wherein the commodity demand information comprises at least one of: single commodity demand information, and overall commodity demand information.
9. The method of claim 8, wherein controlling the robot based on the merchandise demand information comprises:
when at least one of the following two conditions is satisfied: the single commodity demand information is greater than or equal to a preset first threshold value, and the whole commodity demand information is greater than or equal to a preset second threshold value, and then the robot is controlled to carry out replenishment operation; alternatively, the first and second electrodes may be,
and when the single commodity demand information is smaller than a preset first threshold value and the whole commodity demand information is smaller than a preset second threshold value, controlling the robot to keep the current working state.
10. The method of claim 9, wherein controlling the robot to perform restocking operations comprises:
determining at least one type of commodity corresponding to the commodity demand information;
and when the robot is in an idle state, controlling the robot to carry out replenishment operation on the commodity.
11. The method of claim 9, further comprising:
controlling the robot to send prompt information, wherein the prompt information comprises at least one of the following information: voice prompt information, screen prompt information.
12. A control device for a robot, comprising:
the detection module is used for detecting the working state of the robot;
the acquisition module is used for acquiring user information and commodity sales information in different time periods in a preset area when the robot is in an idle state; or when the robot is in a cruising state, acquiring user information and commodity sales information in different areas in different time periods;
and the control module is used for controlling the robot according to the user information and the commodity sales information.
13. A robot, comprising:
the detection equipment is used for detecting the working state of the robot;
the information acquisition equipment is in communication connection with the detection equipment and is used for acquiring user information and commodity sales information in different time periods in a preset area when the robot is in an idle state; or when the robot is in a cruising state, acquiring user information and commodity sales information in different areas in different time periods;
and the controller is in communication connection with the information acquisition equipment and is used for controlling the robot according to the user information and the commodity sales information.
14. A computer readable storage medium storing computer instructions, for use in a robot, that when executed by a processor, cause the processor to perform acts comprising:
detecting the working state of the robot;
when the robot is in an idle state, acquiring user information and commodity sales information in different time periods in a preset area;
when the robot is in a cruising state, acquiring user information and commodity sales information in different areas within different time periods;
and controlling the robot according to the user information and the commodity sales information.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
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| CN201910044112.XA CN111445275A (en) | 2019-01-17 | 2019-01-17 | Robot control method and device, robot and computer readable storage medium |
| PCT/CN2019/125649 WO2020147476A1 (en) | 2019-01-17 | 2019-12-16 | Robot control method and device, robot, and computer readable storage medium |
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| CN201910044112.XA CN111445275A (en) | 2019-01-17 | 2019-01-17 | Robot control method and device, robot and computer readable storage medium |
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| CN113618749A (en) * | 2021-07-23 | 2021-11-09 | 深圳优地科技有限公司 | Article selling method and device based on robot, intelligent device and storage medium |
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| WO2020147476A1 (en) | 2020-07-23 |
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