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Mechanical arm grabbing method based on cognitive maps

A cognitive map, robotic arm technology, applied in the direction of manipulator, 2D image generation, program control manipulator, etc., can solve the problems of failure, single grasping position, large amount of training data, etc., to achieve rapid detection and strong practicability , the effect of good environmental adaptability

Active Publication Date: 2017-11-21
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology helps robots learn how well they work by learning from their experiences during reconstructive procedures or create models for objects without having them trained beforehand. It also allows these maps to become more flexible with changes made while still being able to accurately represent an image's surface shape. Overall this improves efficiency and accuracy over time-consuming tasks such as manual manipulation.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the performance of robotic arms when performing complex operations like gripping without requiring precise models of their surface being captured beforehand during testing. Current methods require extensive amounts of data storage space and trained algorithms may result in unreliable results if there were any issues involving specific parts of the body being held securely while others could move around freely.

Method used

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  • Mechanical arm grabbing method based on cognitive maps
  • Mechanical arm grabbing method based on cognitive maps
  • Mechanical arm grabbing method based on cognitive maps

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Embodiment Construction

[0032] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0033] like figure 1 As shown, a cognitive map-based robotic arm grasping method includes the following steps:

[0034] Establish an outer cognitive map and an inner cognitive map;

[0035] According to the collected image information of the target object, the distance between the current robotic arm and the object is obtained, and the movement is made to the position of the outer cognitive map;

[0036] According to the image information of the current location and the closest point in the outer cognitive map, the outer layer is matched;

[0037] According to the matching results of the outer layer, plan a trajectory in the outer map that can move to the inner cognitive map;

[0038] Move to the area established by the inner cognitive map according to the above trajectory;

[0039] In the inner cognitive map, path planning is carried out a...

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Abstract

The invention discloses a mechanical arm grabbing method based on cognitive maps. The method comprises the following steps that the outer layer cognitive map and the inner layer cognitive map are set up; according to collected target object image information, the current distance between a mechanical arm and an object is obtained, and the mechanical arm moves to the position of the outer layer cognitive map; according to the picture information of the position currently located and the proximate point in the outer layer cognitive map, outer layer matching is carried out; according to the result of outer layer matching, the track enabling the mechanical arm to move to the inner layer cognitive map can be planned in the outer layer map; according to the track, the mechanical arm moves to the area set up by the inner layer cognitive map; in the inner layer cognitive map, path planning is carried out according to the current position and the target position, and grabbing is completed. The method is good in environmental suitability and high in practicality.

Description

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Claims

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Application Information

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Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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