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人間工学・協働ロボットarXiv:1805.06270

人間工学最適化のためのリアルタイム協働ロボット支援

Real-time Robot-assisted Ergonomics

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RGB-Dカメラで作業者の姿勢をリアルタイムに計測し、人間工学的に最適な状態へ戻すよう協働ロボットが作業環境を自動調整する手法を提案・検証した論文。

著者: Ali Shafti, Ahmad Ataka, Beatriz Urbistondo Lazpita, Ali Shiva, Helge A. Wurdemann, Kaspar Althoefer

分類: cs.RO, cs.HC

原文アブストラクト

This paper describes a novel approach in human robot interaction driven by ergonomics. With a clear focus on optimising ergonomics, the approach proposed here continuously observes a human user's posture and by invoking appropriate cooperative robot movements, the user's posture is, whenever required, brought back to an ergonomic optimum. Effectively, the new protocol optimises the human-robot relative position and orientation as a function of human ergonomics. An RGB-D camera is used to calculate and monitor human joint angles in real-time and to determine the current ergonomics state. A total of 6 main causes of low ergonomic states are identified, leading to 6 universal robot responses to allow the human to return to an optimal ergonomics state. The algorithmic framework identifies these 6 causes and controls the cooperating robot to always adapt the environment (e.g. change the pose of the workpiece) in a way that is ergonomically most comfortable for the interacting user. Hence, human-robot interaction is continuously re-evaluated optimizing ergonomics states. The approach is validated through an experimental study, based on established ergonomic methods and their adaptation for real-time application. The study confirms improved ergonomics using the new approach.

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