The challenge of preparing teams for the European robotics league: Emergency

Ferreira, F.; Röning, Juha; Winfield, Alan F; Stengler, Erik; Kauppinen, M.; Pitkänen, V.; Palau Franco, Marta; Kemppainen, A.; Tikanmäki, A.; Furci, M.; Brueggemann, B.; Schneider, F.; Castro, A.; Petillot, Yvan; Cordero Limon, M.; Viguria, A.; Ferri, G.; Liu, Xingcun; Sosa, D.

doi:10.2352/ISSN.2470-1173.2017.9.IRIACV-261

Authors

F. Ferreira

Juha Röning

Alan Winfield Alan.Winfield@uwe.ac.uk
Professor in Robotics

Erik Stengler

M. Kauppinen

V. Pitkänen

Marta Palau Franco

A. Kemppainen

A. Tikanmäki

M. Furci

B. Brueggemann

F. Schneider

A. Castro

Yvan Petillot

M. Cordero Limon

A. Viguria

G. Ferri

Xingcun Liu

D. Sosa

Abstract

© 2017, Society for Imaging Science and Technology. ERL Emergency is an outdoor multi-domain robotic competition inspired by the 2011 Fukushima accident. The ERL Emergency Challenge requires teams of land, underwater and flying robots to work together to survey the scene, collect environmental data, and identify critical hazards. To prepare teams for this multidisciplinary task a series of summer schools and workshops have been arranged. In this paper the challenges and hands-on results of bringing students and researchers collaborating successfully in unknown environments and in new research areas are explained. As a case study results from the euRathlon/SHERPA workshop 2015 in Oulu are given.

Citation

Ferreira, F., Röning, J., Kauppinen, M., Pitkänen, V., Kemppainen, A., Tikanmäki, A., …Sosa, D. (2017). The challenge of preparing teams for the European robotics league: Emergency. https://doi.org/10.2352/ISSN.2470-1173.2017.9.IRIACV-261

Journal Article Type	Article
Conference Name	IS and T International Symposium on Electronic Imaging Science and Technology
Publication Date	Jan 29, 2017
Electronic ISSN	2470-1173
Pages	22-30
DOI	https://doi.org/10.2352/ISSN.2470-1173.2017.9.IRIACV-261
Keywords	field robotics, robotics competitions, UAV, water vessels
Public URL	https://uwe-repository.worktribe.com/output/899540
Publisher URL	https://doi.org/10.2352/ISSN.2470-1173.2017.9.IRIACV-261
Additional Information	Additional Information : Reprinted with permission of IS&T: The Society for Imaging Science and Technology sole copyright owners of Electronic Imaging, Intelligent Robotics and Industrial Applications using Computer Vision 2017