基于模糊综合评价的机械臂实时碰撞检测

Xia Jing, Wu Guang-xin, Li Chongyang, Liu Hong
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引用次数: 4

摘要

为了克服基于三维模型的碰撞检测方法仅依赖部件间最短距离判断碰撞的缺点,提出了一种机器人当前运动对周围物体的危险程度的碰撞检测方法。该方法更全面地考虑了关节的最短距离、运动状态、制动性能、机器人控制方式和接触状态对机器人碰撞风险的影响,采用模糊综合评价方法得到了机器人碰撞风险指标。同时,利用球面扫描凸壳(SSCH)建立碰撞检测模型,提高了碰撞检测的实时性。最后,通过仿真和实验验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time collision detection for manipulators based on fuzzy synthetic evaluation
To overcome the shortcoming that the collision detection method based on three-dimension model only depends on the shortest distance between components to determine collision, a novel collision detection method for manipulators is proposed to indicate how dangerous the current movement of the robot are to the surrounding objects. The method more comprehensively considers the effect of the shortest distance, motion state, braking performance of joints, robot control mode and the contact state on robot collision risk, obtains a robot collision risk index by using the fuzzy synthetic evaluation. At the same time, building the collision detection model by using sphere sweeping convex hulls (SSCH) improves the real-time of the collision detection. Finally, the proposed method is validated through simulations and experiments.
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