论文标题
触觉沟通在二元协作对象操纵任务中的作用
The role of haptic communication in dyadic collaborative object manipulation tasks
论文作者
论文摘要
直观,有效的人类机器人合作依赖于人类和机器人的相互观察性,即两个实体能够解释彼此的意图和行动。这是通过涉及人类传感或意图解码的多种方法以及人类机器人的转折和顺序任务计划来解决的。但是,物理互动通过一般的力量,扭矩和触觉建立了丰富的交流渠道,这在人类机器人互动的工业实施中常常被忽略。在这项工作中,我们调查了触觉在人类协作的物理任务中的作用,以确定如何在人类机器人团队中整合物理交流。我们提出了一项任务,以在一个参与者的双向板上平衡一个目标位置,或者由两个参与者进行侵袭,并具有触觉信息。任务要求双方实时彼此协调,以平衡球的球。我们发现,随着训练的完成时间和球的数量,球的速度峰减少了,并且参与者逐渐在制动策略中逐渐保持一致。此外,我们发现触觉信息的存在改善了性能(减少完成时间),并导致整体合作运动的增加。总体而言,我们的结果表明,当触觉反馈可用时,人类可以更好地互动。这些结果还强调了在人类机器人身体互动中触觉交流的重要性,既是推断人类意图的工具,也可以使机器人行为可以解释为人类。
Intuitive and efficient physical human-robot collaboration relies on the mutual observability of the human and the robot, i.e. the two entities being able to interpret each other's intentions and actions. This is remedied by a myriad of methods involving human sensing or intention decoding, as well as human-robot turn-taking and sequential task planning. However, the physical interaction establishes a rich channel of communication through forces, torques and haptics in general, which is often overlooked in industrial implementations of human-robot interaction. In this work, we investigate the role of haptics in human collaborative physical tasks, to identify how to integrate physical communication in human-robot teams. We present a task to balance a ball at a target position on a board either bimanually by one participant, or dyadically by two participants, with and without haptic information. The task requires that the two sides coordinate with each other, in real-time, to balance the ball at the target. We found that with training the completion time and number of velocity peaks of the ball decreased, and that participants gradually became consistent in their braking strategy. Moreover we found that the presence of haptic information improved the performance (decreased completion time) and led to an increase in overall cooperative movements. Overall, our results show that humans can better coordinate with one another when haptic feedback is available. These results also highlight the likely importance of haptic communication in human-robot physical interaction, both as a tool to infer human intentions and to make the robot behaviour interpretable to humans.