一种机器人关节所受外力的评估方法、装置、设备及介质

By acquiring the position and driving torque of the robot joints, and using dynamic equations and a target finite-time observer to evaluate external forces, the problems of high cost and time delay in existing technologies are solved, and fast and low-cost external force evaluation is achieved.

CN116175563BActive Publication Date: 2026-07-17AUBO (BEIJING) ROBOTICS TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
AUBO (BEIJING) ROBOTICS TECH CO LTD
Filing Date
2023-01-16
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, collaborative robots face difficulties in detecting interactive forces and external forces in human-computer interaction scenarios. Using additional force/torque sensors is costly and time-consuming, making them difficult to apply in practice.

Method used

By acquiring the position, velocity, and joint driving torque of the robot joints, the generalized momentum is calculated using the dynamic equations. The power-law variation rule of the target finite-time observer is designed, its constant fractional power-law exponent is modified, and the external force is evaluated by reading the observer's state output.

Benefits of technology

It enables rapid and convenient assessment of external forces on robot joints, reducing costs and latency, and eliminating the need for additional force or torque sensors.

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Abstract

本申请提供了一种机器人关节所受外力的评估方法、装置、设备及介质,应用于工业机器人技术领域,所述方法包括:获取机器人关节的位置、速度和关节驱动力矩;利用所述位置、速度、关节驱动力矩和动力学方程计算所述机器人关节的广义动量;将高阶有限时间观测器中的观测目标替换为所述广义动量,得到目标有限时间观测器;修改所述目标有限时间观测器的常分数幂指数;读取修改后的目标有限时间观测器的状态输出,作为所述机器人关节的所受外力。通过上述方法,利用机器人关节驱动的相关数据即可实现外力的评估,无需使用额外的力或力矩传感器,降低了外力评估的成本和延迟。
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