Multi-legged robot motion control and inspection path planning method and system for curved surface environment

By employing a multi-legged robot motion control method, combined with depth camera fusion edge detection and cubic Bézier curve planning, the robustness and control strategy safety issues of visual navigation and positioning on wind turbine blade surfaces were resolved. Stable inspection path planning and closed-loop control were achieved, adapting to complex curved surface environments.

CN122411488APending Publication Date: 2026-07-17
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202610784600.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Filing Date
2026-06-02
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies for visual navigation and positioning on wind turbine blade surfaces lack robustness, adaptability to unknown environments, safety of control strategies, and closed-loop feedback capabilities. This leads to problems such as pose estimation drift, path drift, accumulated deviation, collisions, and missteps that can easily occur during robot inspections.

Method used

A multi-legged robot motion control method is adopted, which acquires RGB images and depth images through a depth camera, extracts surface edge points by fusing edge detection, plans the foot trajectory using cubic Bézier curves, and performs closed-loop control by combining visual deviation closed-loop feedback and contact torque feedback to achieve stable inspection.

Benefits of technology

It improves the robot's motion adaptability and safety in complex curved surface environments, reduces collision risks, achieves stable path tracking and navigation functions, and enables autonomous mapping and path planning in unknown environments.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122411488A_ABST
    Figure CN122411488A_ABST
Patent Text Reader

Abstract

本申请提出一种针对曲面环境的多足机器人运动控制及巡检路径规划方法及系统,基于RGB图像和深度图像,获取曲面边缘点集合,基于曲面边缘点集合,获取目标点;基于多足机器人各足端的当前接触点,通过三次贝塞尔曲线对各足端进行两阶段运动轨迹规划,得到各足端的足端轨迹点集合;基于各足端的足端轨迹点集合,驱动多足机器人各腿部的关节电机工作,并在关节电机工作过程中,获取关节电机的力矩反馈,基于力矩反馈对各足端的运动轨迹进行闭环控制;基于目标点的坐标信息和RGB图像的图像参数,获取视觉偏差,通过基于视觉偏差的闭环反馈控制多足机器人对目标点进行路径追踪;提高多足机器人在复杂曲面上的运动适应性。
Need to check novelty before this filing date? Find Prior Art