A method for correcting the moving direction of a bionic robot

CN117148765BActive Publication Date: 2026-06-23SHANGHAI WHALESBOT TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANGHAI WHALESBOT TECH CO LTD
Filing Date
2023-09-11
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing biomimetic robot control methods require extensive training and learning to adapt to different environments. The lack of robustness of sensors and mechanical errors leads to inaccurate and unstable control results, making it difficult to meet the requirements of complex environments and tasks.

Method used

An error compensation module is used to calculate the system error and modify the control law. Combined with a real-time feedback module, deviations are judged and the control law is adjusted. Positioning and attitude parameters are obtained through a sensor module to achieve precise motion control.

Benefits of technology

It improves the positioning accuracy and motion stability of biomimetic robots, ensuring that the robot can accurately reach the target position, reducing system errors and external interference, and achieving correction of the movement direction.

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Abstract

The application discloses a moving direction correction method of a bionic robot, and relates to the technical field of bionic robots.The method collects positioning parameters and attitude parameters of the bionic robot and sends the parameters to a control module.An error compensation module performs error self-checking, calculates an error factor, modifies the control law of the bionic robot, and sends the control law to the control module.The control module controls the movement of the bionic robot according to the error-compensated control law.A feedback module judges whether the bionic robot deviates from a target position according to the positioning parameters and the attitude parameters, sends feedback signals to the control module, adjusts the control law according to the feedback signals, and continues to control the movement of the bionic robot, and continuously feeds back and adjusts until the bionic robot reaches the target position and stops the movement control.The application can reduce system errors, improve stability and precision, has real-time feedback control and yaw detection capabilities, and improves the moving accuracy of the bionic robot.
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