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Real-time Robot-assisted Ergonomics (1805.06270v3)

Published 16 May 2018 in cs.RO and cs.HC

Abstract: 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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Authors (6)
  1. Ali Shafti (17 papers)
  2. Ahmad Ataka (1 paper)
  3. Beatriz Urbistondo Lazpita (1 paper)
  4. Ali Shiva (1 paper)
  5. Helge A. Wurdemann (2 papers)
  6. Kaspar Althoefer (28 papers)
Citations (46)

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