人形机器人环境不确定性的运动规划和控制
Zhiyong Jiang1, Yu Wang2, Siyu Wang2
1Robotics Engineering Center, The 21st Research Institute, China Electronics Technology Group Corporation, Shanghai 200233, China.
Sensors (Basel, Switzerland)
|December 17, 2024
概括
本研究介绍了人形机器人感知运动计划算法,使它们能够通过同步四肢运动和使用传感器反保持平衡来导航动态环境. 这提高了机器人在不可预测条件下的适应性和弹性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统 控制系统
- 人工智能的人工智能
背景情况:
- 人形机器人经常在动态,不确定的环境中扎.
- 现实世界的应用需要强大的导航和操作能力.
- 现有的设计通常是针对静态条件进行优化.
研究的目的:
- 为人形机器人引入一种感知运动规划和控制算法.
- 为了在不可预测的动力学和动态环境中实现有效的操作.
- 为了确保同步的多肢运动和动态平衡.
主要方法:
- 利用来自力,扭矩和惯性传感器的实时反.
- 开发了一种感知运动规划和控制算法.
- 实现了同步的多肢运动控制.
- 专注于在移动过程中保持动态平衡.
主要成果:
- 在处理复杂任务时表现出适应性和稳健性.
- 成功地在不平坦的地形上航行.
- 展示了对外部干扰的有效反应.
- 在动态条件下验证了算法的性能.
结论:
- 感知运动规划显著提高人形机器人的多功能性和弹性.
- 该算法使得在不确定的环境中能够有效运行.
- 潜在的应用包括搜救,医疗保健和工业自动化.
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