Disaster rescue robot based on visual servo and control method thereof

CN122401415APending Publication Date: 2026-07-17XIJING UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XIJING UNIV
Filing Date
2026-05-25
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing disaster relief robots have poor environmental adaptability in complex environments, low perception and operational accuracy, insufficient mobility, and severe resource competition when multiple tasks are performed in parallel, affecting the real-time performance of high-priority tasks.

Method used

The robot employs Mecanum wheels to achieve zero-radius steering and lateral translation. The five-degree-of-freedom robotic arm combines a visual perception module and a force perception module. Through multi-sensor fusion and visual servo control, combined with deep learning models and inverse kinematics calculations, the robot can perform autonomous and precise operations in complex environments.

Benefits of technology

It significantly improves the operational efficiency and accuracy of disaster relief robots, reduces the error of multi-source data fusion, ensures the real-time performance and system stability of high-priority tasks, and provides highly reliable and adaptable intelligent rescue capabilities.

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Abstract

本发明公开了一种基于视觉伺服的灾后救援机器人,包括移动底盘采用麦克纳姆轮实现零半径转向与横向平移;机械臂安装于移动底盘上,机械臂执行抓取与搬运操作;视觉感知模块包括至少一个摄像头,通过视觉感知模块采集环境图像;力感知模块与机械臂的末端连接,通过力感知模块实时检测接触力;主控系统分别与移动底盘、机械臂、视觉感知模块和力感知模块连接。该灾后救援机器人,通过将麦克纳姆轮全向移动底盘与五自由度机械臂深度融合,并结合运动学算法与位姿补偿,实现了机器人在非结构化地形中的高机动性与机械臂精准抓取的协同控制,显著提升了灾后作业效率。
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