Abstract

Abstract Dependability of robot co-workers plays an important role in increasing the effectiveness of human-robot interaction in manufacturing. Our goal is to understand the role of motion planning parameters in human-robot collaboration and to provide guidelines for the selection of the most suitable motion planner. The human factors analysis provided in this paper highlights that repeatability of the motion and predictability of the robot timing affect the quality of human-robot collaboration.

Highlights

  • Human factors in industrial robotic applications and their consequences on the work organization have been studied in academic and industrial research for decades

  • The results indicate that higher movement speed and lower predictability leads to higher risk perception, anxiety, workload, and

  • Q1: Did Robot perform movements that you feel dangerous? The user declares if the robot performs dangerous movements. 19% of users answer Yes, it is important to remark the presence of a strong correlation between the user’s experience level and the danger perception

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Summary

Introduction

Human factors in industrial robotic applications and their consequences on the work organization have been studied in academic and industrial research for decades. Many researchers addressed the implications of human factors on safety aspects in industrial scenarios (Aaltonen et al, 2018; Behrens et al, 2015; Robla-Gomez et al, 2017; Freedy et al, 2007), and their deployment (Saenz et al, 2018). A roadmap for the successful implementation of human factors in industrial human-robot collaboration is proposed in (Charalambous et al, 2015). (Hoffman, 2019) proposed metrics to evaluate fluency in human–robot collaborative scenarios, measuring the effectiveness of the human and the robot to work as a team. In (Koppenborg et al, 2017), a virtual reality experimental campaign has been performed to understand how the robot movements impact the human perception. The results indicate that higher movement speed and lower predictability leads to higher risk perception, anxiety, workload, and

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