MANIPULATION
面向需要时变力的操作任务的层次化模仿学习方法
Rishabh Shukla, Adithya Santhosh, Shaili Gandhi, Samrudh Moode, Satyandra K. Gupta
- 发表年份
- 2026
- 引用次数
- 0
- 期刊
- Robotics and Computer-Integrated Manufacturing
摘要
本文提出了一种层次化模仿学习框架，用于处理需要时变力的机器人操作任务。该方法通过分层策略学习力和运动轨迹，提高了复杂操作任务的执行精度和适应性。
关键词
imitation learninghierarchicalforce controlmanipulationtime-varying forces
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