协作冗余机器人的动力模型校准,使用封闭的动力链
1Department of Automatics, Biocybernetics and Robotics, Jožef Stefan Institute, Jamova cesta 39, 1000, Ljubljana, Slovenia. tadej.petric@ijs.si.
Scientific reports
|October 18, 2023
概括
本研究介绍了协作机器人的成本效益高的动力学校准,通过使用联合扭矩传感器和球形关节来提高精度. 这种方法可以显著提高机器人的精度,而不需要昂贵的设备.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 机械工程 机械工程
背景情况:
- 协作机器人 (cobots) 需要高精度的安全和有效的操作.
- 现有的动力学校准方法可能昂贵或复杂,限制了可访问性.
研究的目的:
- 为冗余协作机器人开发一种新,具有成本效益和高效的动力学校准方法.
- 为了提高机器人端效应器定位的绝对精度.
主要方法:
- 利用机器人的冗余性,使用球形接头来精确定位终端效应器.
- 使用联合扭矩传感器进行动感学校准方法.
- 采用优化方法来根据测量数据确定动力学参数.
主要成果:
- 在Franka Emika Panda机器人上显示了绝对精度的显著提升.
- 实现了与昂贵的光学测量系统相匹配的性能.
- 验证了用于机器人校准的实用且具有成本效益的解决方案.
结论:
- 提出的动感校准方法有效地提高了协作机器人的精度.
- 这种方法为动力校准的昂贵传感器系统提供了可行的替代方案.
- 该方法对现实世界的应用很实用,提高了cobot的性能.
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