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

Ferreira, F.; R�ning, Juha; Winfield, Alan F; Kauppinen, M.; Stengler, Erik; Pitk�nen, V.; Palau Franco, Marta; Kemppainen, A.; Tikanm�ki, A.; Furci, M.; Brueggemann, B.; Schneider, F.; Castro, A.; Petillot, Yvan; Cordero Limon, M.; Viguria, A.; Ferri, G.; Liu, Xingcun; Sosa, D.

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
• Deposit Date: Jun 29, 2017
• Publicly Available Date: Jun 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