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Usability of force-based controllers in physical human-robot interaction

机译:基于力的控制器在人机交互中的可用性

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摘要

Learning from demonstration is an invaluable skill for a robot acting in a human populated natural environment, allowing the teaching of new skills without tedious and complex manual programming. Physical human-robot interaction, where the human is in a physical contact with the robot, is a promising approach for teaching especially manipulation skills. This paper studies the human side of physical human-robot interaction, in the context of a human physically guiding a robot through the desired set of motions. The paper addresses the question, which kind of response of the robot is preferable for the human user. In addition, different approaches for the guidance are described and relevant technical challenges are discussed. The main finding of the user study is that there is a need for a trade-off between the conflicting goals of naturalness of motion and positioning accuracy.
机译:对于在人类居住的自然环境中工作的机器人而言,从演示中学习是一项宝贵的技能,无需进行繁琐而复杂的手动编程,就可以教授新技能。人与机器人进行物理接触的物理人机交互是一种很有前途的方法,尤其是在教授操作技能方面。本文是在人类物理地指导机器人完成所需的一组运动的背景下,研究人机交互的人性方面。本文解决了这样一个问题,机器人的哪种响应方式对于人类用户来说是更可取的。此外,还介绍了指导的不同方法,并讨论了相关的技术挑战。用户研究的主要发现是,需要在运动的自然性和定位精度的相互冲突的目标之间进行权衡。

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