N. Hawes, C. Burbridge, F. Jovan, L. Kunze, B. Lacerda, L. Mudrova, J. Young, J. Wyatt, D. Hebesberger, T. Körtner, R. Ambrus, N. Bore, J. Folkesson, P. Jensfelt, L. Beyer, A. Hermans, B. Leibe, A. Aldoma Buchaca, T. Fäulhammer, M. Zillich, M. Vincze, E. Chinellato, M. Al-Omari, P. Duckworth, Y. Gatsoulis, D. Hogg, A. Cohn, C. Dondrup, J. Pulido Fentanes, T. Krajnik, J. Santos, T. Duckett, M. Hanheide et al.:
"The STRANDS Project: Long-Term Autonomy in Everyday Environments";
Arxiv, 2016 (2016), S. 1 - 14.

Kurzfassung englisch:
Thanks to the efforts of the robotics and autonomous systems community, robots are becoming ever
more capable. There is also an increasing demand from end-users for autonomous service robots that can
operate in real environments for extended periods. In the STRANDS project1 we are tackling this demand
head-on by integrating state-of-the-art artificial intelligence and robotics research into mobile service
robots, and deploying these systems for long-term installations in security and care environments. Over
four deployments, our robots have been operational for a combined duration of 104 days autonomously
performing end-user defined tasks, covering 116km in the process. In this article we describe the approach
we have used to enable long-term autonomous operation in everyday environments, and how our robots
are able to use their long run times to improve their own performance.

Erstellt aus der Publikationsdatenbank der Technischen Universitšt Wien.