CN110287676A - Picking employee recognition methods, robot and computer readable storage medium - Google Patents
Picking employee recognition methods, robot and computer readable storage medium Download PDFInfo
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- CN110287676A CN110287676A CN201910574334.2A CN201910574334A CN110287676A CN 110287676 A CN110287676 A CN 110287676A CN 201910574334 A CN201910574334 A CN 201910574334A CN 110287676 A CN110287676 A CN 110287676A
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- China
- Prior art keywords
- picking
- employee
- picking employee
- information
- recognition methods
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Classifications
-
- 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
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J19/00—Accessories fitted to manipulators, e.g. for monitoring, for viewing; Safety devices combined with or specially adapted for use in connection with manipulators
- B25J19/02—Sensing devices
- B25J19/021—Optical sensing devices
- B25J19/023—Optical sensing devices including video camera means
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J9/00—Programme-controlled manipulators
- B25J9/16—Programme controls
- B25J9/1656—Programme controls characterised by programming, planning systems for manipulators
- B25J9/1661—Programme controls characterised by programming, planning systems for manipulators characterised by task planning, object-oriented languages
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/34—User authentication involving the use of external additional devices, e.g. dongles or smart cards
Abstract
The embodiment of the present application discloses a kind of picking employee recognition methods, robot and computer readable storage medium, and picking employee's recognition methods includes: the identity information for obtaining picking employee；According to the identity information of the picking employee got, judge whether the picking employee has picking permission；In the case where the picking employee has picking permission, the operation information of pending task is shown；In the case where the pending task operating is completed, the information of the pending task and the picking employee is recorded.The embodiment of the present application is judged by the picking permission to picking employee, and records the information of pending task and picking employee；Specific operator can not be recorded by solving existing robot, lead to not the problem of verifying picking employee operating result, counting the workload of picking employee and can not carry out rights management；It is not take up the time and efforts of picking employee, improves picking efficiency.
Description
Technical field
The invention relates to warehouse logistics technical field more particularly to a kind of picking employee recognition methods, robot
And computer readable storage medium.
Background technique
Under a kind of existing picking mode, picking employee makes an inspection tour inside warehouse storage area, and searching, which needs to be implemented, appoints
The robot of business.Before discovery has and is parked in storage space and the robot that indicator light prompts is lighted, before employee goes to robot, according to
Prompt on tablet computer screen carries out corresponding operating.One robot can successively carry out multiple picking tasks, due to employee
It is not arrhea dynamic searching robot, therefore different picking tasks can be executed by different employees.Current robot
There is no the abilities of identification operator, anyone operates before may going to robot, and simultaneity factor can not also record tool
The operator of body.
Specific operator, which can not be recorded, to generate following problems:
If 1, difference occurs in follow-up link discovery picking task, since system does not record specific operator, lead to nothing
Method verification is caused by which picking people's operating mistake, can not be also monitored to picking employee's operating result and be located accordingly
Reason.
2, due to that can not record the corresponding picking people of picking task, each picking employee when daily work load can not
It is counted, the wage that opaque workload will lead to employee can not be computed correctly.
3, due to that cannot identify concrete operations people, can not also rights management be carried out to the operation on tablet computer, appointed
What can enter storage area and touch robot employee can be carried out picking operation；And the employee except picking employee very may be used
Their operation can be caused to might have mistake, influence the picking work at scene without receiving professional training.
Summary of the invention
In view of this, the embodiment of the present application is designed to provide a kind of picking employee recognition methods, robot and meter
Calculation machine readable storage medium storing program for executing can not record specific operator to solve existing robot, lead to not verify picking employee behaviour
The problem of making result, counting the workload of picking employee and rights management can not be carried out.
It is as follows that the embodiment of the present application solves technical solution used by above-mentioned technical problem:
According to the one aspect of the embodiment of the present application, a kind of picking employee recognition methods provided, this method is used for machine
People；The picking employee recognition methods includes:
Obtain the identity information of picking employee；
According to the identity information of the picking employee got, judge whether the picking employee has picking permission；
In the case where the picking employee has picking permission, the operation information of pending task is shown；
In the case where the pending task operating is completed, the letter of the pending task and the picking employee is recorded
Breath.
In a kind of possible embodiment, the identity information for obtaining picking employee, before further include:
In the case where receiving the instruction of the pending task, automatic running to warehouse storage space is simultaneously shown described wait hold
The information of row task.
It is described in the case where receiving the instruction of the pending task in a kind of possible embodiment, automatically
It drives to warehouse storage space and shows the information of the pending task, later further include:
Prompt information is sent to the picking employee.
In a kind of possible embodiment, the identity information for obtaining picking employee includes:
By the way that identifier in the robot is arranged, the identity information of the picking employee is recognized.
In a kind of possible embodiment, the identity information for obtaining picking employee includes:
By the way that biometric devices in the robot are arranged, the physiological characteristic letter of the picking employee is obtained
Breath；
The physiological characteristic information of the picking employee is matched to obtain the identity information of the picking employee.
In a kind of possible embodiment, the physiological characteristic information includes one of fingerprint, iris, face.
In a kind of possible embodiment, the identity information for obtaining picking employee includes:
Obtain unique code of the picking employee input；
Unique code of picking employee input is verified to obtain the identity information of the picking employee.
In a kind of possible embodiment, the identity information for the picking employee that the basis is got is picked described in judgement
Whether goods employee has picking permission, later further include:
In the case where the picking employee does not have picking permission, the prompt information of lack of competence is popped up.
According to the other side of the embodiment of the present application, a kind of robot provided, the robot includes memory, place
Reason device and the picking employee's recognizer that is stored on the memory and can run on the processor, the picking employee
Recognizer realizes the step of above-mentioned picking employee's recognition methods when being executed by the processor.
According to the other side of the embodiment of the present application, a kind of computer readable storage medium provided, the computer
It is stored with picking employee's recognizer on readable storage medium storing program for executing, is realized when the picking employee recognizer is executed by processor
The step of picking employee's recognition methods stated.
The picking employee recognition methods, robot and computer readable storage medium of the embodiment of the present application, by picking
The picking permission of goods employee judges, and records the information of pending task and picking employee；Solve existing robot without
Method records specific operator, lead to not verify picking employee operating result, count picking employee workload and can not
The problem of carrying out rights management；It is not take up the time and efforts of picking employee, improves picking efficiency.
Detailed description of the invention
Fig. 1 is picking employee's recognition methods flow diagram of the application first embodiment；
Fig. 2 is the structural schematic diagram identified by NFC identifier to picking employee of the embodiment of the present application；
Fig. 3 is the structural schematic diagram identified by panel identification device to picking employee of the embodiment of the present application；
Fig. 4 is a kind of autonomous mobile robot structural schematic diagram provided by the embodiments of the present application；
Fig. 5 is that the autonomous mobile robot of the embodiment of the present application identifies picking employee flow diagram；
Fig. 6 is robot architecture's schematic diagram of the application second embodiment.
The embodiments will be further described with reference to the accompanying drawings for realization, functional characteristics and the advantage of the application purpose.
Specific embodiment
In order to be clearer and more clear technical problems to be solved in this application, technical solution and beneficial effect, tie below
Drawings and examples are closed, the application is further elaborated.It should be appreciated that specific embodiment described herein is only
To explain the application, it is not used to limit the application.
In subsequent description, it is only using the suffix for indicating such as " module ", " component " or " unit " of element
Be conducive to explanation of the invention, itself there is no a specific meaning.Therefore, " module ", " component " or " unit " can mix
Ground uses.
First embodiment
As shown in Figure 1, the application first embodiment provides a kind of picking employee recognition methods, this method is used for robot；
The picking employee recognition methods includes:
Step S11, the identity information of picking employee is obtained.
In the present embodiment, the identity information of the picking employee includes but is not limited to name, age, affiliated function, member
Work number, contact method etc..
In one embodiment, the identity information for obtaining picking employee, before further include:
In the case where receiving the instruction of the pending task, automatic running to warehouse storage space is simultaneously shown described wait hold
The information of row task.
In this embodiment, robot voluntarily drives to warehouse storage space, then according to the instruction of the pending task
Show specific mission bit stream.
It should be noted that mission bit stream includes but is not limited to the commodity sign consistent with the warehouse storage space, commodity
Quantity and shelf coordinate etc..Specifically, in the display interface of robot to the corresponding end article information of order information and position
Confidence breath is shown, wherein display interface can be the display panel of the intrinsic display panel of robot or terminal device
(terminal device and robot are established and are communicated to connect, to realize the interaction of terminal device and robot).
In one embodiment, described in the case where receiving the instruction of the pending task, automatic running arrives
Warehouse storage space and the information for showing the pending task, later further include:
Prompt information is sent to the picking employee.
In this embodiment, it when robot is moved to end article designated position to be picked up, can be issued to sorter
Prompt information, the prompt information can be used for prompting sorter, carry out the position picking.Prompt information can be diversified forms, such as
Using buzzer whistle, the form of voice broadcast or light flash.
In one embodiment, the identity information for obtaining picking employee includes:
By the way that identifier in the robot is arranged, the identity information of the picking employee is recognized.
Specifically, by the way that identifier in the robot is arranged, the identity information of the picking employee is recognized, is wrapped
It includes but is not limited to following manner:
(or bar code), which is scanned the two-dimensional code, by the barcode scanning gun of setting in the robot obtains the picking employee
Identity information, wherein the two dimensional code (or bar code) carries the identity information of the picking employee；
By the way that NFC (Near Field Communication, near-field communication) identifier in the robot is arranged,
Built-in NFC chip reads the identity information of the picking employee from the bracelet that the picking employee wears；
By the way that RFID (Radio Frequency Identification, less radio-frequency in the robot is arranged
Identification) module, built-in RFID chip reads the identity information of the picking employee from the drop that the picking employee wears.
In this embodiment, for the two dimensional code of two dimensional code (perhaps bar code) mode each picking employee (or
Bar code) it is all unique, the identity information with employee.Picking employee uses the two dimensional code with personally identifiable information
The barcode scanning gun robot of (perhaps bar code) alignment robot obtains employee by barcode scanning gun identification two dimensional code (or bar code)
Identity information.
For NFC mode, a bracelet, NFC chip built in bracelet, NFC chip can be provided to each picking employee
The interior identity information that the employee can be written in advance.A NFC identifier is placed in robot, by hand when picking employee operates
Ring is worn in wrist, and NFC identifier can identify the NFC chip information in bracelet, reads displaying after the identity information of employee
On the display interface of robot.
For RFID mode, a drop, one RFID core of drop placed inside can be provided to each picking employee
The identity information of the employee can be written in RFID chip in advance for piece.A RFID module is placed in robot.Employee operation when
The RFID chip information of employee can be sensed close to robot, RFID module by waiting, and read displaying after the identity information of employee
On the display interface of robot.
In order to preferably illustrate the embodiment, it is illustrated below in conjunction with Fig. 2 and in a manner of RFID:
As shown in Fig. 2, the tablet computer that the A in figure is robot, A1 is robot, A11 are to be arranged in tablet computer
RFID module, the B in figure is some picking employee, B1 is a drop that the employee carries；Wherein there is in drop RFID
The identity information of picking employee is written in chip, RFID chip.
It is readable if RFID module A11 senses the RFID chip in drop B1 when picking employee B is close to robot A
Get the identity information of picking employee.It is shown on the screen of tablet computer A1 after reading.
In one embodiment, the identity information for obtaining picking employee includes:
By the way that biometric devices in the robot are arranged, the physiological characteristic letter of the picking employee is obtained
Breath；
The physiological characteristic information of the picking employee is matched to obtain the identity information of the picking employee.
In this embodiment, the physiological characteristic information includes one of fingerprint, iris, face.
In order to preferably illustrate the embodiment, it is illustrated below in conjunction with Fig. 3 and in a manner of face recognition:
As shown in figure 3, the tablet computer that the C in figure is robot, C1 is robot, C11 are the camera of tablet computer,
D in figure is some picking employee.
When picking employee D is close to robot C, the facial information (figure of picking employee D can be got by camera C11
In dotted line shown in).The facial information got can be matched with facial information pre-stored in database, matching at
The identity information of the corresponding picking employee of the facial information can be obtained after function.Later, the screen in tablet computer C1 is shown
On.
In another embodiment, the identity information for obtaining picking employee includes:
Obtain unique code of the picking employee input；
Unique code of picking employee input is verified to obtain the identity information of the picking employee.
In this embodiment, picking employee can input unique code and verify, this can be obtained after verifying successfully and picks
The identity information of goods employee.
Step S12, according to the identity information of the picking employee got, judge whether the picking employee has picking power
Limit.
In the present embodiment, the picking permission of picking employee can be inputted and be managed by administrator.Picking permission can be with
It is the type of the digital levels such as " level-one ", " second level ", " three-level ", is also possible to " skilled ", " general ", " not receiving training " etc.
The type of verbal description.Specifically, the application is not limited thereto.
In one embodiment, the identity information for the picking employee that the basis is got, judges the picking employee
Whether picking permission is had, later further include:
In the case where the picking employee does not have picking permission, the prompt information of lack of competence is popped up.
In this embodiment, if picking employee can prompt lack of competence with pop-up, not can be carried out picking without picking permission
Operation.
Step S13, in the case where the picking employee has picking permission, the operation information of pending task is shown.
In the present embodiment, when picking employee has picking permission, can be shown on the display interface of robot to
The merchandise news of picking, order information, " confirmation " and " cancellation " key etc..Specifically, the application is not limited thereto.
Step S14, in the case where the pending task operating is completed, the pending task and the picking are recorded
The information of employee.
In the present embodiment, it when receiving the instruction that the pending task operating is completed, automatically records described wait hold
The information of row task and the picking employee.So as to follow-up link, according to the pending task of record and corresponding picking employee
Information, picking employee's operating result can be monitored, to each picking employee when daily work load counts.
In order to preferably illustrate the present embodiment, picking employee's identification process is illustrated below in conjunction with Fig. 4-Fig. 5:
AMR (Autonomous Mobile Robots, autonomous mobile robot) is a kind of picking robot.Such as Fig. 4 institute
Show, AMR is comprised the following modules: the task indicating module 211 on tablet computer 21 and barcode scanning gun 212 is arranged in tablet computer 21,
Imaging sensor 22, goods yard chest group 23, range sensor 24.Wherein, range sensor 24 can be laser, TOF, 3D
Image Camera etc..
As shown in figure 5, AMR voluntarily drives to warehouse storage space according to task instruction first, specific task letter is then shown
It ceases (shown in step S21).In this step, AMR can issue prompt information to picking employee by task indicating module 211,
I.e. prompt picking employee carrys out the position picking.
Before picking employee goes to AMR after receiving prompt information, the two dimensional code with personally identifiable information is aligned
The barcode scanning gun 212 of AMR (shown in step S22).
AMR identifies that two dimensional code obtains the identity information of picking employee by barcode scanning gun 212, judges whether picking employee picks
Goods permission (shown in step S23).If not having picking permission, pop-up prompts lack of competence (shown in step S24).
If picking employee has picking permission, picking employee information and mission bit stream are shown on the screen of tablet computer 21
(shown in step S25).
Picking employee is operated by the information shown on tablet computer 21, such as: items scanning, verification quantity, point
Hit " confirmation " key.Final system backstage records the corresponding operator's information of this task (shown in step S26).
Picking employee's recognition methods of the embodiment of the present application, is judged, and remember by the picking permission to picking employee
Record the information of pending task and picking employee；Specific operator can not be recorded by solving existing robot, lead to not core
Real picking employee operating result, the workload for counting picking employee and the problem of rights management can not be carried out；It is not take up picking
The time and efforts of employee improves picking efficiency.
Second embodiment
As shown in fig. 6, the application second embodiment provides a kind of robot, the robot includes memory 31, processing
Device 32 and it is stored in the picking employee's recognizer that can be run on the memory 31 and on the processor 32, the picking
When employee's recognizer is executed by the processor 32, the step of for realizing picking employee's recognition methods as described below:
Obtain the identity information of picking employee；
According to the identity information of the picking employee got, judge whether the picking employee has picking permission；
In the case where the picking employee has picking permission, the operation information of pending task is shown；
In the case where the pending task operating is completed, the letter of the pending task and the picking employee is recorded
Breath.
When the picking employee recognizer is executed by the processor 32, it is also used to realize picking employee as described below
The step of recognition methods:
The identity information for obtaining picking employee, before further include:
In the case where receiving the instruction of the pending task, automatic running to warehouse storage space is simultaneously shown described wait hold
The information of row task.
When the picking employee recognizer is executed by the processor 32, it is also used to realize picking employee as described below
The step of recognition methods:
It is described in the case where receiving the instruction of the pending task, automatic running to warehouse storage space and show described in
The information of pending task, later further include:
Prompt information is sent to the picking employee.
When the picking employee recognizer is executed by the processor 32, it is also used to realize picking employee as described below
The step of recognition methods:
It is described obtain picking employee identity information include:
By the way that identifier in the robot is arranged, the identity information of the picking employee is recognized.
When the picking employee recognizer is executed by the processor 32, it is also used to realize picking employee as described below
The step of recognition methods:
It is described obtain picking employee identity information include:
By the way that biometric devices in the robot are arranged, the physiological characteristic letter of the picking employee is obtained
Breath；
The physiological characteristic information of the picking employee is matched to obtain the identity information of the picking employee.
When the picking employee recognizer is executed by the processor 32, it is also used to realize picking employee as described below
The step of recognition methods:
The physiological characteristic information includes one of fingerprint, iris, face.
When the picking employee recognizer is executed by the processor 32, it is also used to realize picking employee as described below
The step of recognition methods:
It is described obtain picking employee identity information include:
Obtain unique code of the picking employee input；
Unique code of picking employee input is verified to obtain the identity information of the picking employee.
When the picking employee recognizer is executed by the processor 32, it is also used to realize picking employee as described below
The step of recognition methods:
The identity information for the picking employee that the basis is got, judges whether the picking employee has picking permission, it
Afterwards further include:
In the case where the picking employee does not have picking permission, the prompt information of lack of competence is popped up.
The robot of the embodiment of the present application is judged by the picking permission to picking employee, and records pending
The information of business and picking employee；Specific operator can not be recorded by solving existing robot, lead to not verify picking employee
Operating result, the workload for counting picking employee and the problem of rights management can not be carried out；It is not take up the time of picking employee
And energy, improve picking efficiency.
3rd embodiment
The application 3rd embodiment provides a kind of computer readable storage medium, deposits on the computer readable storage medium
Picking employee's recognizer is contained, for realizing described in first embodiment when the picking employee recognizer is executed by processor
Picking employee's recognition methods the step of.
It should be noted that the computer readable storage medium of the present embodiment, belongs to same with the method for first embodiment
Design, specific implementation process is shown in embodiment of the method in detail, and the technical characteristic in embodiment of the method is right in the present embodiment
It should be applicable in, which is not described herein again.
The computer readable storage medium of the embodiment of the present application judged by the picking permission to picking employee, and
Record the information of pending task and picking employee；Specific operator can not be recorded by solving existing robot, be led to not
The problem of verifying picking employee operating result, counting the workload of picking employee and rights management can not be carried out；It is not take up and picks
The time and efforts of goods employee improves picking efficiency.
It will appreciated by the skilled person that whole or certain steps, system, dress in method disclosed hereinabove
Functional module/unit in setting may be implemented as software, firmware, hardware and its combination appropriate.In hardware embodiment,
Division between the functional module/unit referred in the above description not necessarily corresponds to the division of physical assemblies；For example, one
Physical assemblies can have multiple functions or a function or step and can be executed by several physical assemblies cooperations.Certain objects
Reason component or all physical assemblies may be implemented as by processor, such as central processing unit, digital signal processor or micro process
The software that device executes, is perhaps implemented as hardware or is implemented as integrated circuit, such as specific integrated circuit.Such software
Can be distributed on a computer-readable medium, computer-readable medium may include computer storage medium (or non-transitory be situated between
Matter) and communication media (or fugitive medium).As known to a person of ordinary skill in the art, term computer storage medium includes
In any method or skill for storing information (such as computer readable instructions, data structure, program module or other data)
The volatile and non-volatile implemented in art, removable and nonremovable medium.Computer storage medium includes but is not limited to
RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storages, magnetic
Box, tape, disk storage or other magnetic memory apparatus or it can be used for storing desired information and can be visited by computer
Any other medium asked.In addition, known to a person of ordinary skill in the art be, communication media generally comprises computer-readable
Other numbers in the modulated data signal of instruction, data structure, program module or such as carrier wave or other transmission mechanisms etc
According to, and may include any information delivery media.
Above by reference to Detailed description of the invention preferred embodiment of the present application, not thereby limit to the interest field of the application.This
Field technical staff does not depart from made any modifications, equivalent replacements, and improvements in scope of the present application and essence, should all be at this
Within the interest field of application.
Claims (10)
1. a kind of picking employee recognition methods, this method is used for robot；It is characterized in that, the picking employee recognition methods packet
It includes:
Obtain the identity information of picking employee；
According to the identity information of the picking employee got, judge whether the picking employee has picking permission；
In the case where the picking employee has picking permission, the operation information of pending task is shown；
In the case where the pending task operating is completed, the information of the pending task and the picking employee is recorded.
2. picking employee recognition methods according to claim 1, which is characterized in that the identity letter for obtaining picking employee
Breath, before further include:
In the case where receiving the instruction of the pending task, automatic running to warehouse storage space simultaneously shows described pending
The information of business.
3. picking employee recognition methods according to claim 2, which is characterized in that described to receive described pending
In the case where the instruction of business, automatic running to warehouse storage space and the information for showing the pending task, later further include:
Prompt information is sent to the picking employee.
4. picking employee recognition methods according to claim 1, which is characterized in that the identity letter for obtaining picking employee
Breath includes:
By the way that identifier in the robot is arranged, the identity information of the picking employee is recognized.
5. picking employee recognition methods according to claim 1, which is characterized in that the identity letter for obtaining picking employee
Breath includes:
By the way that biometric devices in the robot are arranged, the physiological characteristic information of the picking employee is obtained；
The physiological characteristic information of the picking employee is matched to obtain the identity information of the picking employee.
6. picking employee recognition methods according to claim 5, which is characterized in that the physiological characteristic information includes referring to
One of line, iris, face.
7. picking employee recognition methods according to claim 1, which is characterized in that the identity letter for obtaining picking employee
Breath includes:
Obtain unique code of the picking employee input；
Unique code of picking employee input is verified to obtain the identity information of the picking employee.
8. picking employee recognition methods according to claim 1, which is characterized in that the picking employee that the basis is got
Identity information, judge whether the picking employee has picking permission, later further include:
In the case where the picking employee does not have picking permission, the prompt information of lack of competence is popped up.
9. a kind of robot, which is characterized in that the robot includes memory, processor and is stored on the memory simultaneously
The picking employee's recognizer that can be run on the processor, when the picking employee recognizer is executed by the processor
It realizes such as the step of picking employee recognition methods described in any item of the claim 1 to 8.
10. a kind of computer readable storage medium, which is characterized in that be stored with sorter on the computer readable storage medium
Work recognizer is realized when the picking employee recognizer is executed by the processor such as any one of claims 1 to 8 institute
The step of picking employee's recognition methods stated.
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| CN201910574334.2A CN110287676A (en) | 2019-06-28 | 2019-06-28 | Picking employee recognition methods, robot and computer readable storage medium |
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| CN111401852A (en) * | 2020-03-20 | 2020-07-10 | 李胜国 | Artificial intelligence remote labor service system applying Internet of things |
| CN111563493A (en) * | 2020-07-15 | 2020-08-21 | 炬星科技（深圳）有限公司 | Work information acquisition method and equipment based on image recognition and storage medium |
| CN111563805A (en) * | 2020-07-15 | 2020-08-21 | 炬星科技（深圳）有限公司 | Work information acquisition method, robot, device, and storage medium |
| CN112101858A (en) * | 2020-08-20 | 2020-12-18 | 上海姜歌机器人有限公司 | Processing method for picking information of order picker and order picking robot |
| CN112184494A (en) * | 2020-10-09 | 2021-01-05 | 深圳云云科技有限公司 | Linkage control method, system and equipment for food sample reservation |
| CN112836986A (en) * | 2021-02-26 | 2021-05-25 | 珠海格力电器股份有限公司 | Resource picking method and device, electronic equipment and storage medium |
| CN117047784A (en) * | 2023-10-11 | 2023-11-14 | 大扬智能科技(北京)有限公司 | Method and device for determining position of robot for picking goods and robot system |
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| CN117047784B (en) * | 2023-10-11 | 2024-01-26 | 大扬智能科技(北京)有限公司 | Method and device for determining position of robot for picking goods and robot system |
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