CN110065064A - A kind of robot sorting control method - Google Patents

A kind of robot sorting control method Download PDF

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Publication number
CN110065064A
CN110065064A CN201810069509.XA CN201810069509A CN110065064A CN 110065064 A CN110065064 A CN 110065064A CN 201810069509 A CN201810069509 A CN 201810069509A CN 110065064 A CN110065064 A CN 110065064A
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CN
China
Prior art keywords
target object
robot
control method
location information
target
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Pending
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CN201810069509.XA
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Chinese (zh)
Inventor
王拴绪
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Nanjing Robotics Research Institute Co Ltd
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Nanjing Robotics Research Institute Co Ltd
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Priority to CN201810069509.XA priority Critical patent/CN110065064A/en
Publication of CN110065064A publication Critical patent/CN110065064A/en
Pending legal-status Critical Current

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Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B07SEPARATING SOLIDS FROM SOLIDS; SORTING
    • B07CPOSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
    • B07C5/00Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
    • B07C5/34Sorting according to other particular properties
    • B07C5/342Sorting according to other particular properties according to optical properties, e.g. colour
    • B07C5/3422Sorting according to other particular properties according to optical properties, e.g. colour using video scanning devices, e.g. TV-cameras
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • B25J9/1656Programme controls characterised by programming, planning systems for manipulators
    • B25J9/1664Programme controls characterised by programming, planning systems for manipulators characterised by motion, path, trajectory planning
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B25HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25JMANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00Programme-controlled manipulators
    • B25J9/16Programme controls
    • B25J9/1694Programme controls characterised by use of sensors other than normal servo-feedback from position, speed or acceleration sensors, perception control, multi-sensor controlled systems, sensor fusion
    • B25J9/1697Vision controlled systems

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  • Engineering & Computer Science (AREA)
  • Robotics (AREA)
  • Mechanical Engineering (AREA)
  • Multimedia (AREA)
  • Image Analysis (AREA)
  • Manipulator (AREA)
  • Image Processing (AREA)

Abstract

The present invention relates to a kind of robots to sort control method, comprising: constructs the target tracking model of robot and the visual signature map of target object, and determines initial position of the initial target object on the visual signature map;Target object image is acquired and is handled, physical location of the laser scanning target object on the visual signature map is passed through;The mode of operation of robot is detected and identified with the method for image procossing, the target object under acquisition device people's operating process, and the target object is obtained in the location information at the moment;It is accurately positioned the distance between machine people and target object, and target object state is predicted, the location information to target object in subsequent time is predicted;The running track of the end effector of planning robot;The end effector of control robot is acted according to the motion profile planned.

Description

A kind of robot sorting control method
Technical field
The present invention relates to robotic technology fields more particularly to a kind of robot to sort control method.
Background technique
The combination of industrial robot and vision is following developing direction, at present in the vision of industrial robot field application System is generally divided into two classes: one kind is using smart camera, i.e. camera and processor integrates, and vision algorithm operates in place It manages in device, smart camera configures upper computer software module, may be implemented to calculate in smart camera by upper computer software module Method input parameter does corresponding configuration;It is to use general industry camera, and configure PC machine there are also one kind, general camera only has camera And camera lens, without processor, vision algorithm is operated in above PC machine.
Two class vision systems respectively have advantage and disadvantage: the first kind is relatively high using smart camera integrated level, but due to camera size It cannot do very greatly, have higher requirements in this way for the size of processor, processing capacity, heat dissipation etc., increase the cost of camera, separately Outside, this smart camera size and weight are bigger, if being placed on robot end, design robot end and bear a heavy burden It is a test, application is more inconvenient;It is another kind of high without smart camera using general industry camera integrated level, but due to list It is solely configured to the PC machine of algorithm operation, although computing capability is stronger, cost and smart camera are similar.
Industrial robot can apish partial act, according to different execution programs, track and require realize grab automatically The electro-mechanical system of workpiece and operational instrument is taken, carries, it has the characteristics that intelligent and automation, can significantly improve life Efficiency is produced, is improved working conditions, the application of industrial robot will greatly improve the technical level of China's manufacturing industry, automation journey Degree, product competitiveness, promote manufacturing transition and upgrade, bring the raising of entire industrial level;Robot vision technology is exactly The video conversion of optical electron system photographs at electronic image and is transmitted to computer system progress image procossing, is realized to object The identification of the features such as color, size, shape, the position of body, and recognition result is sent to computer to control other executing agencies The industrial system of execution, since it has, non-contact, accuracy of identification is high, speed is fast, high degree of automation, easy and other are The features such as system is integrated, has been widely used at present in light industry, chemical industry, weaving, medical treatment, electronics, automobile and other industries, by robot and machine Device vision system combines, and is a kind of very promising application.
Industrial robot can be used for flexible sorting, but this in flexible sort process, and the accuracy of robot is not Often there is deviation in height, causes the inaccuracy of segregating articles, affects the progress of production.
Therefore, accuracy of the robot in flexible sort process how is improved, becomes those skilled in the art and urgently solves Technical problem certainly.
Summary of the invention
The object of the present invention is to provide a kind of robots to sort control method, can be improved robot in flexible sort process In accuracy, enable robot to be accurately sorted to target object.
To achieve the goals above, the present invention provides a kind of robots to sort control method, comprising the following steps:
The target tracking model of robot and the visual signature map of target object are constructed, and determines initial target object described Initial position on visual signature map;
Target object image is acquired and is handled, reality of the laser scanning target object on the visual signature map is passed through Border position;
The mode of operation of robot is detected and identified with the method for image procossing, the mesh under acquisition device people's operating process Object is marked, and obtains the target object in the location information at the moment;
It is accurately positioned the distance between machine people and target object, and target object state is predicted, is existed to target object The location information of subsequent time is predicted;
Track the position of target object next state value and subsequent time in time according to prediction result;
According to the status information of the current state information of target object and prediction, the position at current location information and lower a moment is believed Breath, the running track of the end effector of planning robot;
The end effector of control robot is acted according to the motion profile planned.
Preferably, target object image is acquired and is handled by visual sensor.
Preferably, before target object image is acquired and is handled, robot is obtained by visual sensor The location information and status information of end effector, to determine the initial position message and initial shape of the end effector of robot State.
Preferably, the visual sensor obtains the two width scene images for containing the target object, then passes through two-value After change, edge extracting, the detection of profile boundary rectangle, ellipses detection, oval similarity calculation, oval center of gravity calculation, described in acquisition The parallax of the target object in two width scene images, to obtain the status information of target object.
Preferably, the physical location by laser scanning target object on the visual signature map, comprising: logical Three laser scanners are crossed, the location information of target object are obtained by triangulation, and location information is marked in the view Feel on characteristics map.
Preferably, the visual sensor establishes mesh based on the track algorithm of robot working background color combining and edge Mark tracing model;And it is detected and is identified to the target object under the mode of operation of robot using frame differential method; Calculate the distance between robot and target object;Motion state based on Kalman filtering algorithm prediction target object.
Preferably, the running track of the end effector of the planning robot;It include: that the motion profile is straight by three " door " zag trajectory of line segment process, the height of " door " zag trajectory are higher than the height of barrier.
Robot provided by the invention sorts control method, passes through acquisition robot, the original state of target object and just The beginning position and status information and location information at lower a moment, accurately cooks up the motion profile of end effector of robot, enough Accuracy of the robot in flexible sort process is improved, robot is enabled accurately to be sorted to target object.
Detailed description of the invention
Fig. 1 is a kind of flow diagram for specific embodiment that robot provided by the invention sorts control method.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall in the protection scope of this application.
Fig. 1 is please referred to, Fig. 1 is a kind of process for specific embodiment that robot provided by the invention sorts control method Schematic diagram.
As shown in Figure 1, the present invention provides a kind of robots to sort control method, include the following steps.
The target tracking model of robot and the visual signature map of target object are constructed, and determines that initial target object exists Initial position on the visual signature map;
Target object image is acquired and is handled, reality of the laser scanning target object on the visual signature map is passed through Border position;
The mode of operation of robot is detected and identified with the method for image procossing, the mesh under acquisition device people's operating process Object is marked, and obtains the target object in the location information at the moment;
It is accurately positioned the distance between machine people and target object, and target object state is predicted, is existed to target object The location information of subsequent time is predicted;
Track the position of target object next state value and subsequent time in time according to prediction result;
According to the status information of the current state information of target object and prediction, the position at current location information and lower a moment is believed Breath, the running track of the end effector of planning robot;
The end effector of control robot is acted according to the motion profile planned.
In specific scheme, target object state includes the posture of target object and the motion state of target object, such as Shape, movement velocity, acceleration of motion of target object etc..
Robot provided by the invention sorts control method, passes through acquisition robot, the original state of target object and just The beginning position and status information and location information at lower a moment, accurately cooks up the motion profile of end effector of robot, enough Accuracy of the robot in flexible sort process is improved, robot is enabled accurately to be sorted to target object.
In preferred scheme, target object image is acquired and is handled by visual sensor.
In preferred scheme, before target object image is acquired and is handled, machine is obtained by visual sensor The location information and status information of the end effector of device people, with determine robot end effector initial position message and Original state.
In preferred scheme, the visual sensor obtains the two width scene images for containing the target object, then passes through After crossing binaryzation, edge extracting, the detection of profile boundary rectangle, ellipses detection, oval similarity calculation, oval center of gravity calculation, obtain The parallax of the target object in the two width scene image is obtained, to obtain the status information of target object.
In preferred scheme, the physical location by laser scanning target object on the visual signature map, It include: the location information of target object to be obtained by triangulation, and location information label is existed by three laser scanners On the visual signature map.
In preferred scheme, track algorithm of the visual sensor based on robot working background color combining and edge Establish target tracking model;And using frame differential method to the target object under the mode of operation of robot carry out detection and Identification;Calculate the distance between robot and target object;Movement shape based on Kalman filtering algorithm prediction target object State.
In preferred scheme, the running track of the end effector of the planning robot;Include: the motion profile by " door " zag trajectory of three straightway processes, the height of " door " zag trajectory are higher than the height of barrier.This scheme It can allow robot smoothly across barrier, in case robot is influenced by barrier during the motion.
Structure, feature and effect of the invention, the above institute are described in detail based on the embodiments shown in the drawings Only presently preferred embodiments of the present invention is stated, but the present invention does not limit the scope of implementation as shown in the drawings, it is all according to structure of the invention Think made change or equivalent example modified to equivalent change, when not going beyond the spirit of the description and the drawings, It should all be within the scope of the present invention.

Claims (7)

1. a kind of robot sorts control method, which comprises the following steps:
The target tracking model of robot and the visual signature map of target object are constructed, and determines initial target object described Initial position on visual signature map;
Target object image is acquired and is handled, reality of the laser scanning target object on the visual signature map is passed through Border position;
The mode of operation of robot is detected and identified with the method for image procossing, the mesh under acquisition device people's operating process Object is marked, and obtains the target object in the location information at the moment;
It is accurately positioned the distance between machine people and target object, and target object state is predicted, is existed to target object The location information of subsequent time is predicted;
Track the position of target object next state value and subsequent time in time according to prediction result;
According to the status information of the current state information of target object and prediction, the position at current location information and lower a moment is believed Breath, the running track of the end effector of planning robot;
The end effector of control robot is acted according to the motion profile planned.
2. robot according to claim 1 sorts control method, which is characterized in that by visual sensor to target pair As image is acquired and is handled.
3. robot according to claim 2 sorts control method, which is characterized in that adopted to target object image Before collection and processing, the location information and status information of the end effector of robot are obtained, by visual sensor with determination The initial position message and original state of the end effector of robot.
4. robot according to claim 3 sorts control method, which is characterized in that the visual sensor acquisition contains Two width scene images of the target object, then by binaryzation, edge extracting, the detection of profile boundary rectangle, ellipses detection, After oval similarity calculation, oval center of gravity calculation, the parallax of the target object in the two width scene image is obtained, to obtain Obtain the status information of target object.
5. robot according to claim 1 sorts control method, which is characterized in that described to pass through laser scanning target pair As the physical location on the visual signature map, comprising: by three laser scanners, obtain target by triangulation The location information of object, and by location information label on the visual signature map.
6. robot according to claim 3 sorts control method, which is characterized in that the visual sensor is based on machine The track algorithm at people's working background color combining and edge establishes target tracking model;And using frame differential method to machine Target object under the mode of operation of people is detected and is identified;Calculate the distance between robot and target object;It is based on The motion state of Kalman filtering algorithm prediction target object.
7. robot according to claim 1 sorts control method, which is characterized in that hold the end of the planning robot The running track of row device;It include: " door " zag trajectory of the motion profile by three straightway processes, " door " the font rail The height of mark is higher than the height of barrier.
CN201810069509.XA 2018-01-24 2018-01-24 A kind of robot sorting control method Pending CN110065064A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111804605A (en) * 2020-07-13 2020-10-23 东莞市恒明机器人自动化有限公司 Automatic packing unit of injection molding machine
CN114083533A (en) * 2021-11-09 2022-02-25 广州富港生活智能科技有限公司 Data processing method and device based on mechanical arm
WO2023124735A1 (en) * 2021-12-31 2023-07-06 广东美的白色家电技术创新中心有限公司 Robot control method, apparatus and system and storage medium

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US4633414A (en) * 1982-11-26 1986-12-30 Hitachi, Ltd. Robot operation control system
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CN106610666A (en) * 2015-10-22 2017-05-03 沈阳新松机器人自动化股份有限公司 Assistant robot based on binocular vision, and control method of assistant robot
CN107206601A (en) * 2014-10-24 2017-09-26 费洛有限公司 Customer service robot and related systems and methods
CN107363837A (en) * 2017-09-08 2017-11-21 桂林加宏汽车修理有限公司 A kind of method of manipulator control system and control machinery hand captures object

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US4633414A (en) * 1982-11-26 1986-12-30 Hitachi, Ltd. Robot operation control system
CN101226640A (en) * 2007-12-21 2008-07-23 西北工业大学 Method for capturing movement based on multiple binocular stereovision
CN101434066A (en) * 2008-10-20 2009-05-20 北京理工大学 Method and platform for predicating teleoperation of robot
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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111804605A (en) * 2020-07-13 2020-10-23 东莞市恒明机器人自动化有限公司 Automatic packing unit of injection molding machine
CN111804605B (en) * 2020-07-13 2021-03-19 东莞市恒明机器人自动化有限公司 Automatic packing unit of injection molding machine
CN114083533A (en) * 2021-11-09 2022-02-25 广州富港生活智能科技有限公司 Data processing method and device based on mechanical arm
CN114083533B (en) * 2021-11-09 2024-04-09 广州富港生活智能科技有限公司 Data processing method and device based on mechanical arm
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CN116408790B (en) * 2021-12-31 2024-07-16 广东美的白色家电技术创新中心有限公司 Robot control method, device, system and storage medium

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