Trajectory-based Optimization of Safety and Process Efficiency in Human-Robot Collaboration

Sumona Sen, Hans Juergen Buxbaum
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Abstract

The interaction between humans and robots in industrial applications of human-robot collaboration has so far been determined almost exclusively by technically oriented machine programmers and operators. The task allocation and especially the programmed trajectories of the robot are regularly subordinated to technical aspects, mental or cognitive demands of the human are usually not considered. The aim of this research is the investigation and optimization of robot movements considering cognitive and ergonomic aspects. The stress on humans caused by the workstation is to be reduced and the safety in the not harmless collision scenario is to be increased.
基于轨迹的人机协作安全与过程效率优化
迄今为止,在人机协作的工业应用中,人与机器人之间的交互几乎完全由面向技术的机器程序员和操作员决定。机器人的任务分配特别是程序轨迹通常服从于技术方面,通常不考虑人的心理或认知需求。本研究的目的是考虑认知和人体工程学方面的机器人运动的调查和优化。减少工作站对人类造成的压力,增加非无害碰撞场景下的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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