Acquiring Motion Elements for Bidirectional Computation of Motion Recognition and Generation
Acquiring Motion Elements for Bidirectional Computation of Motion Recognition and Generation
复制标题
获取运动元素以进行运动识别和生成的双向计算
DOI：
10.1007/3-540-36268-1_33
复制
发表时间：
2002
期刊：
影响因子：
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通讯作者：
Yoshihiko Nakamura
中科院分区：
文献类型：
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作者：
T. Inamura;I. Toshima;Yoshihiko Nakamura
模仿理论是模仿学习的原始技能之一，它被认为是人类智能的起源，因为模仿是交流和符号操作的基本功能。当模仿被用作类人机器人的学习方法时，由于机器人侧自下而上的学习方法和用户侧自上而下的教导方法相互涉及，因此设计全身行为的便利性会降低。因此，我们提出了一个基于模仿理论的类人机器人行为获取和理解系统。该系统能够将观察到的其他人的行为抽象成符号，使用符号识别其他人的行为，并使用符号生成运动模式。在本文中，我们提到了模仿循环的整合，并证实了虚拟人形机器人的可行性。
Mimesis theory is one of the primitive skill of imitative learning, which is regarded as an origin of human intelligence because imitation is fundamental function for communication and symbol manipulation. When the mimesis is adopted as learning method for humanoids, convenience for designing full body behavior would decrease because bottom-up learning approaches from robot side and top-down teaching approaches from user side involved each other. Therefore, we propose a behavior acquisition and understanding system for humanoids based on the mimesis theory. This system is able to abstract observed others’ behaviors into symbols, to recognize others’ behavior using the symbols, and to generate motion patterns using the symbols. In this paper, we mention the integration of mimesis loop, and confirmation of the feasibility on virtual humanoids.
DOI：
10.1109/robot.2000.844132
发表时间：
2000-04
期刊：
Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065)
影响因子：
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作者：
K. Yamane;Yoshihiko Nakamura
通讯作者：
K. Yamane;Yoshihiko Nakamura