复杂任务机器人教学研究

Lingtao Huang, Jinsong Yang, Shui Ni, Bin Wang, Hongyan Zhang
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引用次数: 2

摘要

针对传统教学技术无法满足复杂教学任务的要求,本文研究了基于力传感器重力补偿和导纳控制的机器人直接教学技术。通过力传感器的重力补偿,减小了机器人端刀重力、机器人底座安装倾斜角度和力传感器零点对力传感器的影响,提高了教学精度。利用导纳控制原理,机器人可以根据教学人员的牵引进行运动,并定期记录过程中的教学点,形成教学轨迹。最后,建立了直接教学系统,并对重力补偿算法和直接教学算法进行了实验验证。实验结果表明,所提出的重力补偿算法能取得较好的补偿效果。基于导纳控制的直接教学算法可以简化教学过程,完成复杂的教学任务。
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Research on Robot Teaching for Complex Task
As the traditional teaching technology can not meet the requirements of complex teaching tasks, this paper studies the direct teaching technology of robots based on the force sensor's gravity compensation and admittance control. Through the gravity compensation of the force sensor, the influence of the gravity of the robot end tool, the installation tilt angle of the robot base and the zero point of the force sensor on the force sensor is reduced, and the teaching accuracy is improved. Using the admittance control principle, the robot can move according to the traction of the teaching staff, and regularly record the teaching points in the process to form the teaching trajectory. Finally, a direct teaching system was established, and the proposed gravity compensation algorithm and direct teaching algorithm were experimentally verified. The experimental results show that the proposed gravity compensation algorithm can achieve better compensation effect. The direct teaching algorithm based on admittance control can simplify the teaching process and complete complex teaching tasks.
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