Towards seamless human robot collaboration: integrating multimodal interaction

被引:95
作者
Papanastasiou, Stergios [1 ]
Kousi, Niki [1 ]
Karagiannis, Panagiotis [1 ]
Gkournelos, Christos [1 ]
Papavasileiou, Apostolis [1 ]
Dimoulas, Konstantinos [1 ]
Baris, Konstantinos [1 ]
Koukas, Spyridon [1 ]
Michalos, George [1 ]
Makris, Sotiris [1 ]
机构
[1] Univ Patras, Dept Mech Engn & Aeronaut, Lab Mfg Syst & Automat, Patras 26504, Greece
关键词
Human robot collaboration; Interaction; Augmented reality; Wearable devices; Safety; Integration; SYSTEMS; INTELLIGENT; VISION; DESIGN;
D O I
10.1007/s00170-019-03790-3
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper discusses the challenges in the collaboration between human operators and industrial robots for assembly operations focusing on safety and simplified interaction. A case study is presented, involving perception technologies for the robot in conjunction with wearable devices used by the operator. In terms of robot perception, a manual guidance module, an air pressor contact sensor namely skin, and a vision system for recognition and tracking of objects have been developed and integrated. Concerning the wearable devices, an advanced user interface including audio and haptic commands accompanied by augmented reality technology are used to support the operator and provide awareness by visualizing information related to production and safety aspects. In parallel, safety functionalities are implemented through collision detection technologies such as a safety skin and safety monitored regions delimiting the area of the robot activities. The complete system is coordinated under a common integration platform and it is validated in a case study of the white goods industry.
引用
收藏
页码:3881 / 3897
页数:17
相关论文
共 40 条
[1]  
[Anonymous], 2006, Manufacturing systems: theory and practice, DOI [10.1007/s10344-004-0044-1, DOI 10.1007/S10344-004-0044-1]
[2]   A data fusion system for controlling the execution status in human-robot collaborative cells [J].
Argyrou, Angelos ;
Giannoulis, Christos ;
Sardelis, Andreas ;
Karagiannis, Panagiotis ;
Michalos, George ;
Makris, Sotiris .
7TH CIRP CONFERENCE ON ASSEMBLY TECHNOLOGIES AND SYSTEMS (CATS 2018), 2018, 76 :193-198
[3]  
Bernhardt R., 2007, IFAC P, V40, P247
[4]  
Bernhardt R, 2008, INNOVATION IN MANUFACTURING NETWORKS, P279
[5]   Appropriate human involvement in assembly and disassembly [J].
Bley, H ;
Reinhart, G ;
Seliger, G ;
Bernardi, M ;
Korne, T .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2004, 53 (02) :487-509
[6]   Motion Analysis System (MAS) for production and ergonomics assessment in the manufacturing processes [J].
Bortolini, Marco ;
Faccio, Maurizio ;
Gamberi, Mauro ;
Pilati, Francesco .
COMPUTERS & INDUSTRIAL ENGINEERING, 2020, 139
[7]   Assembly system design in the Industry 4.0 era: a general framework [J].
Bortolini, Marco ;
Ferrari, Emilio ;
Gamberi, Mauro ;
Pilati, Francesco ;
Faccio, Maurizio .
IFAC PAPERSONLINE, 2017, 50 (01) :5700-5705
[8]   Multi-objective assembly line balancing considering component picking and ergonomic risk [J].
Bortolini, Marco ;
Faccio, Maurizio ;
Gamberi, Mauro ;
Pilati, Francesco .
COMPUTERS & INDUSTRIAL ENGINEERING, 2017, 112 :348-367
[9]  
Brecher C, 2005, P CIRP INT C REC MAN
[10]   Active vision in robotic systems: A survey of recent developments [J].
Chen, Shengyong ;
Li, Youfu ;
Kwok, Ngai Ming .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2011, 30 (11) :1343-1377