Robot object grabbing adaptive learning system based on visual and tactile feedback

The robot object grasping adaptive learning system that combines visual and tactile feedback solves the problem of poor grasping accuracy of thermochromic objects by traditional robot grasping systems, achieves a higher grasping success rate and safety, and ensures the stability and accuracy of the grasping movement.

CN120791746AActive Publication Date: 2025-10-17BEIJING MACHINE LIXIN INTELLIGENT TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510899791.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-01
Publication Date
2025-10-17
Estimated Expiration
2045-07-01

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Abstract

The invention relates to the technical field of robot control, in particular to a robot object grabbing adaptive learning system based on visual and tactile feedback. The robot object grabbing adaptive learning system based on visual and tactile feedback comprises a data acquisition module used for acquiring adaptive control data of a robot; the joint adjusting module is used for obtaining the joint compensation amount of the robot according to the adaptive control data of the robot and adjusting the grabbing motion of the robot to obtain the final joint adjustment degree; the visual feedback module is used for obtaining a rough grabbing force estimation value of the visual information by using a visual feedback formula according to the visual data of the robot; and the tactile feedback module is used for obtaining correction force of tactile feedback by using a tactile feedback formula according to the tactile data of the robot. Through multi-modal information fusion and modular design, high-precision and self-adaptive grabbing of the thermochromic object by the robot is realized.
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Citation Information

Patent Citations

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  • Visual system compensation method and device in high-temperature environment and storage medium

    CN119624890A

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