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双脚踏步控制器设计考虑模型不确定性:一个数据驱动的观点
Chao Song1, Xizhe Zang1, Boyang Chen1
1State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China.
Biomimetics (Basel, Switzerland)
|November 26, 2024
概括
本研究介绍了一种用于双脚机器人的新型强大的步骤控制器,通过直接使用真实世界的数据来提高稳定性. 这种方法可以在具有挑战性的条件下提高行走性能,例如不平坦的地形和意想不到的干扰.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制理论 控制理论
- 人工智能的人工智能
背景情况:
- 双脚机器人运动依赖于状态反控制器来稳定行走.
- 减少顺序模型 (ROM) 是常用的,但往往忽略与全顺序系统的模型差异.
- 解决模型不确定性对于强大的双脚机器人控制至关重要.
研究的目的:
- 为双脚机器人推出一种新的,强大的步骤控制器.
- 解决和克服传统基于ROM的控制器中忽视的模型差异.
- 为了增强行走强度,抵御不确定性和干扰.
主要方法:
- 利用行为系统理论直接从输入状态数据构建控制器.
- 以有限噪声表示模型不确定性,并用有限能量圆形来过度近似它们.
- 在一个22度自由的人形机器人上进行了模拟实验.
主要成果:
- 这种新型控制器与名义上的一步到步 (S2S) 控制器相比,表现出更高的稳定性.
- 成功处理不确定的负载,各种斜坡地形,并推回收场景.
- 验证了用于强大的机器人控制行为系统理论的有效性.
结论:
- 拟议的控制器为双脚机器人运动提供了一个强大的解决方案,其性能优于传统方法.
- 直接结合现实数据和对模型不确定性的计算,可以提高稳定性和适应性.
- 这种方法为更可靠和多功能的人形机器人导航铺平了道路.
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