Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

A robot manipulation pose control method based on visual-touch multi-scale positioning

A robot and pose technology, applied in the field of robot operation pose control, can solve problems such as the inability to meet the robot operation requirements and the six-dimensional error spatial positioning requirements, so as to promote continuous development, improve the pose estimation accuracy, and improve the measurement The effect of precision

Active Publication Date: 2021-10-08
TSINGHUA UNIV
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the dimension of the error space considered in this method is only two-dimensional, that is, the displacement deviation in the x direction and the rotation angle deviation around the z-axis, which cannot meet the positioning requirements in the six-dimensional error space in practical applications.
[0005] To sum up, in order to make the robot operation have better accuracy, dexterity and stability, the traditional measurement methods based on vision and touch can no longer meet the needs of robot operation.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A robot manipulation pose control method based on visual-touch multi-scale positioning
  • A robot manipulation pose control method based on visual-touch multi-scale positioning
  • A robot manipulation pose control method based on visual-touch multi-scale positioning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, and do not limit the protection scope of the present invention.

[0047] In order to better understand the present invention, an application example of a robot operation pose control method based on visual-touch multi-scale positioning of the present invention will be described in detail below.

[0048] A robot operation platform involved in a robot operation pose control method based on visual-touch multi-scale positioning proposed by the present invention, see figure 1 , mainly including a robotic arm system 1 , a visual sensor 2 , a tactile sensor 3 , a main control computer 4 and a support platform 5 . Among them, the manipulator ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention proposes a robot operation posture control method based on visual-touch multi-scale positioning. The present invention first obtains the operating environment and the state of the target object to be operated by measuring the visual sensor. Operate the estimated pose of the target object and the estimated target pose of the manipulator system; then, obtain the relative pose deviation between the end of the manipulator system and the target object to be operated through the measurement of the tactile sensor; finally, according to the requirements of robot operation accuracy, through iterative control and adjust the estimated target pose of the manipulator system. The invention adopts the visual-tactile multi-scale positioning method, uses tactile perception to increase local information, and precisely controls the robot's operating pose; the present invention proposes a pose error measurement method based on a tactile sensor, which accurately measures the robotic arm in a six-dimensional error space The relative pose deviation between the end of the system and the target object to be operated improves the measurement accuracy of the pose error of the robot operation.

Description

technical field [0001] The invention relates to a robot operation pose control method based on visual-tactile multi-scale positioning, and belongs to the technical field of robot visual-tactile perception and robot operation. Background technique [0002] In the robot operation platform, vision and tactile perception, as the eyes and skin of the robot, are important sensory functions when the robot interacts with the external environment, and are one of the key technologies for the operation of intelligent robots. Visual information can provide the robot with information about the surrounding environment, the number and distribution of objects, and the outline and size of each object; object position information, etc. [0003] At present, in the field of robotics, visual measurement is often used for target recognition and classification. The vision measurement system can provide the global information of the robot operating platform. However, in the actual visual measure...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): B25J9/16
CPCB25J9/1664B25J9/1679B25J9/1694
Inventor 赵丹孙富春
Owner TSINGHUA UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products