Exploration of two safety strategies in human-robot collaborative manufacturing using Virtual Reality

被引:11
作者
Vosniakos, George-Christopher [1 ]
Ouillon, Lucas [2 ]
Matsas, Elias [1 ]
机构
[1] Natl Tech Univ Athens, Sch Mech Engn, Heroon Politehniou 9, Athens 15780, Greece
[2] ENISE, 58 Rue Jean Parot, F-42023 St Etienne, France
来源
29TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM 2019): BEYOND INDUSTRY 4.0: INDUSTRIAL ADVANCES, ENGINEERING EDUCATION AND INTELLIGENT MANUFACTURING | 2019年 / 38卷
关键词
human-robot collaboration; virtual reality; safety; fabric laying; ENVIRONMENT;
D O I
10.1016/j.promfg.2020.01.066
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
"beWare of the Robot" is a custom-designed Virtual Reality application and implemented as a platform for simulating in realtime Human-Robot collaboration in manufacturing tasks. This work reports on its use for investigating two alternative safe collaboration strategies, namely 'Reduce Speed' and 'Move Back', in the task of handling fabric when building aerospace composite material parts. Both methods are triggered when the distance of the human to the robot falls below a certain threshold. Experimentation was conducted in live tests, taking into account pressure and force thresholds regarding painful transient contact of the robot with the human following ISO/TS 15066:2016. Indices such as mean robot speed, time of collaboration, number and severity of collisions, were recorded in order to assess and 'tweak' these methods. Tweaking involved speed reduction factor in 'Reduce Speed' and waiting time after completion of stationary tasks in both strategies. Visual cues in terms of graded coloured robot motion volume to indicate varying interference of the human proved ineffective. Beyond statistical assessment of safe collaboration strategies, qualitative assessment was provided by the experiment participants according to acquired experience. (C) 2019 The Authors. Published by Elsevier B.V.
引用
收藏
页码:524 / 531
页数:8
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