A high-precision robot anti-collision system and method

By combining a quantum magnetometer and a controller, magnetic field gradient calculations and interference source location are performed to generate a dynamic safety field, solving the problem of the robot's anti-collision accuracy in complex metal environments and achieving high-precision anti-collision effects.

CN120326639BActive Publication Date: 2025-09-23BEIJING ZHONGLIAN GUOCHENG TECH CO LTD
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Patent Information

Application Number
CN202510822442.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-06-19
Publication Date
2025-09-23
Estimated Expiration
2045-06-19

AI Technical Summary

Technical Problem

Existing technologies make it difficult for robots to achieve high-precision collision avoidance in complex metal environments, especially when working in narrow spaces where sensors cannot accurately identify obstacles.

Method used

A quantum magnetometer is used to detect magnetic field data, and the controller is used to calculate the magnetic field gradient and locate the interference source, generate a dynamic safety field, adjust the robot's movement speed, and optimize the magnetic field gradient threshold through reinforcement learning to achieve emergency braking.

Benefits of technology

It achieves high-precision collision avoidance for robots in complex metal environments, improving the safety and reliability of operations in narrow spaces.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention discloses a high-precision robot collision avoidance system and method. The system includes a robot, a quantum magnetometer, and a controller. The quantum magnetometer is used to collect magnetic field data, perform preprocessing to remove noise and geomagnetic influences, obtain target magnetic field data, and send the data to the controller. The controller calculates the magnetic field gradient and locates the interference source based on the magnetic field vector data formed by the target magnetic field data, and obtains the magnetic field gradient value and the interference source coordinates. The controller generates a dynamic safety field according to the degree of magnetic field distortion and adjusts the robot's movement speed. The controller detects the robot's collision probability, predicts the collision time based on the historical gradient change rate, and controls the robot's emergency braking. The controller performs adaptive threshold online optimization and dynamically adjusts the magnetic field gradient threshold parameters through reinforcement learning.
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Citation Information

Patent Citations

  • Novel measurement method for magnetic field gradient parameters

    CN103995239A

  • Collision protection device and robot equipment

    CN107877547A