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关注人类操作员:用于增强机器人远程操作中用户舒适度的触觉共享控制

Caring About the Human Operator: Haptic Shared Control for Enhanced User Comfort in Robotic Telemanipulation.

作者信息

Rahal Rahaf, Matarese Giulia, Gabiccini Marco, Artoni Alessio, Prattichizzo Domenico, Giordano Paolo Robuffo, Pacchierotti Claudio

出版信息

IEEE Trans Haptics. 2020 Jan-Mar;13(1):197-203. doi: 10.1109/TOH.2020.2969662. Epub 2020 Jan 27.

Abstract

Haptic shared control enables a human operator and an autonomous controller to share the control of a robotic system using haptic active constraints. It has been used in robotic teleoperation for different purposes, such as navigating along paths minimizing the torques requested to the manipulator or avoiding possibly dangerous areas of the workspace. However, few works have focused on using these ideas to account for the user's comfort. In this article, we present an innovative haptic-enabled shared control approach aimed at minimizing the user's workload during a teleoperated manipulation task. Using an inverse kinematic model of the human arm and the rapid upper limb assessment (RULA) metric, the proposed approach estimates the current user's comfort online. From this measure and an a priori knowledge of the task, we then generate dynamic active constraints guiding the users towards a successful completion of the task, along directions that improve their posture and increase their comfort. Studies with human subjects show the effectiveness of the proposed approach, yielding a 30% perceived reduction of the workload with respect to using standard guided human-in-the-loop teleoperation.

摘要

触觉共享控制使人类操作员和自主控制器能够使用触觉主动约束来共享机器人系统的控制权。它已被用于不同目的的机器人遥操作中,例如沿着路径导航,以最小化施加在操纵器上的扭矩,或避开工作空间中可能存在危险的区域。然而,很少有研究致力于运用这些理念来考虑用户的舒适度。在本文中,我们提出了一种创新的具有触觉功能的共享控制方法,旨在最小化遥操作任务期间用户的工作量。利用人体手臂的逆运动学模型和快速上肢评估(RULA)指标,该方法在线估计当前用户的舒适度。基于这一测量结果以及任务的先验知识,我们随后生成动态主动约束,引导用户沿着改善其姿势并提高其舒适度的方向成功完成任务。对人类受试者的研究表明了该方法的有效性,与使用标准的人在回路引导遥操作相比,可使工作量的主观感受降低30%。

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