Mastering human-robot interaction control techniques using Chinese Tai Chi Chuan: Mutual learning, intention detection, impedance adaptation, and force borrowing

Ker-Jiun Wang, Mingui Sun, Lan Zhang, Zhihong Mao
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引用次数: 1

Abstract

Physical human-robot interaction (pHRI) has become an important research topic in recent years. It involves close physical body contact between human and robots, which is a very critical technology to enable human-robot symbiosis for our future society. An illustrative example is the development of wearable robots [1], where the wearer can extend or enhance functionalities of his limbs. Since wearable robots are worn in parallel and moving synchronously with the human body, human-in-the-loop control plays an important role. Human and robot are no longer two separate entities that make their own decisions. In contrast, they jointly react to the world according to their mutual behaviors and control strategies. Any intelligent decision making of each controller has to consider the other one's changing dynamics as part of its feedback loop, which is a two-way bilateral control structure.
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掌握中国太极拳人机交互控制技术:相互学习、意图检测、阻抗适应和力的借用
近年来,物理人机交互(pHRI)已成为一个重要的研究课题。它涉及人与机器人之间的密切身体接触,这是实现未来社会人机共生的一项非常关键的技术。一个说明性的例子是可穿戴机器人的发展[1],佩戴者可以扩展或增强其肢体的功能。由于可穿戴机器人是与人体并行、同步运动的,因此人在环控制起着重要的作用。人类和机器人不再是两个独立的实体,他们自己做决定。相反,它们根据各自的行为和控制策略共同对世界做出反应。每个控制器的任何智能决策都必须考虑另一个控制器的动态变化作为其反馈回路的一部分,这是一个双向双边控制结构。
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