RT Conference Proceedings
T1 Reliable workspace monitoring in safe human-robot environment
A1 Moughlbay, Amine Abou
A1 Herrero, Héctor
A1 Pacheco, Raquel
A1 Outón, Jose Luis
A1 Sallé, Damien
A2 Lopez-Guede, Jose Manuel
A2 Herrero, Alvaro
A2 Quintian, Hector
A2 Grana, Manuel
A2 Etxaniz, Oier
A2 Corchado, Emilio
AB The implementation of a reliable vision system for full perception of the human-robot environment is a key issue for the flexible collaborative production industries, especially for the frequently changing applications. The use of such system facilitates the perception and recognition of the human activity, and consequently highly increases the robustness and reactivity of safety strategies in collaborative tasks. This paper presents an implementation of several techniques for workspace monitoring in collaborative human-robot applications. A reliable perception of the overall environment is performed to generate a consistent point cloud which is used for human detection and tracking. Additionally, safety strategies on the robotic system (reduced velocity, emergency stop, .) are activated when the human-robot distance approaches predefined security thresholds.
PB Springer Verlag
SN 9783319473635
SN 2194-5357
YR 2017
FD 2017
LK https://hdl.handle.net/11556/1873
UL https://hdl.handle.net/11556/1873
LA eng
NO Moughlbay , A A , Herrero , H , Pacheco , R , Outón , J L & Sallé , D 2017 , Reliable workspace monitoring in safe human-robot environment . in J M Lopez-Guede , A Herrero , H Quintian , M Grana , O Etxaniz & E Corchado (eds) , International Joint Conference, SOCO 2016-CISIS 2016-ICEUTE 2016, Proceedings . Advances in Intelligent Systems and Computing , vol. 527 , Springer Verlag , pp. 256-266 , International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2016, International Conference on Computational Intelligence in Security for Information Systems, CISIS 2016 and International Conference on European Transnational Education, ICEUTE 2016 , San Sebastian , Spain , 19/10/16 . https://doi.org/10.1007/978-3-319-47364-2_25
NO conference
NO Publisher Copyright: © Springer International Publishing AG 2017.
NO The research leading to these results has been funded in part by the European Union’s seventh framework program (FP7/2007-2013) under grant agreements #608604 (LIAA: Lean Intelligent Assembly Automation).
DS TECNALIA Publications
RD 29 jul 2024