Humans Need Augmented Feedback to Physically Track Non-Biological Robot Movements

Mahdiar Edraki, P. Maurice, D. Sternad
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Abstract

An important component for the effective collaboration of humans with robots is the compatibility of their movements, especially when humans physically collaborate with a robot partner. Following previous findings that humans interact more seamlessly with a robot that moves with human-like or biological velocity profiles, this study examined whether humans can adapt to a robot that violates human signatures. The specific focus was on the role of extensive practice and real-time augmented feedback. Six groups of participants physically tracked a robot tracing an ellipse with profiles where velocity scaled with the curvature of the path in biological and non-biological ways, while instructed to minimize the interaction force with the robot. Three of the 6 groups received real-time visual feedback about their force error. Results showed that with 3 daily practice sessions, when given feedback about their force errors, humans could decrease their interaction forces when the robot's trajectory violated human-like velocity patterns. Conversely, when augmented feedback was not provided, there were no improvements despite this extensive practice. The biological profile showed no improvements, even with feedback, indicating that the (non-zero) force had already reached a floor level. These findings highlight the importance of biological robot trajectories and augmented feedback to guide humans to adapt to non-biological movements in physical human-robot interaction. These results have implications on various fields of robotics, such as surgical applications and collaborative robots for industry.
人类需要增强反馈来物理跟踪非生物机器人的运动
人类与机器人有效协作的一个重要组成部分是其运动的兼容性,特别是当人类与机器人伙伴进行物理协作时。根据先前的研究结果,人类与以人类或生物速度移动的机器人的互动更加无缝,这项研究调查了人类是否能够适应违反人类特征的机器人。具体的重点是广泛的实践和实时增强反馈的作用。六组参与者在物理上跟踪机器人跟踪一个椭圆,该椭圆的速度以生物和非生物方式随路径曲率缩放,同时指示最小化与机器人的相互作用力。6组中的3组收到了关于他们的力误差的实时视觉反馈。结果表明,通过每天3次的练习,当机器人的轨迹违反了人类的速度模式时,人类可以得到关于他们的力误差的反馈,从而减少他们的相互作用力。相反,当没有提供增强反馈时,尽管进行了广泛的实践,但没有任何改进。即使有反馈,生物特征也没有改善,这表明(非零)力已经达到了最低水平。这些发现强调了生物机器人轨迹和增强反馈对指导人类适应物理人机交互中的非生物运动的重要性。这些结果对机器人技术的各个领域都有影响,例如外科手术应用和工业协作机器人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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