The STRANDS project: Long-term autonomy in everyday environments

The STRANDS project: Long-term autonomy in everyday environments

Thanks to the efforts of the robotics and autonomous systems community, the myriad applications and capacities of robots are ever increasing. There is increasing demand from end users for autonomous service robots that can operate in real environments for extended periods. In the Spatiotemporal Repr...

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書誌詳細
主要な著者: Hawes, N, Burbridge, C, Jovan, F, Kunze, L, Lacerda, B, Mudrova, L, Young, J, Wyatt, J, Hebessberger, D, Kortner, T, Ambrus, R, Bore, N, Folkesson, J, Jensfelt, P, Beyer, L, Hermans, A, Leibe, B, Aldoma, A, Faulhammer, T, Zillich, M, Vincze, M, Chinellato, E, Al-Omari, M, Duckworth, P, Gatsoulis, Y, Hogg, D, Cohn, A, Dondrup, C, Fentanes, J, Krajnik, T, Santos, J, Duckett, T, Hanheide, M
フォーマット: Journal article
出版事項: IEEE 2017
その他の書誌記述
要約:Thanks to the efforts of the robotics and autonomous systems community, the myriad applications and capacities of robots are ever increasing. There is increasing demand from end users for autonomous service robots that can operate in real environments for extended periods. In the Spatiotemporal Representations and Activities for Cognitive Control in Long-Term Scenarios (STRANDS) project (http://strandsproject.eu), 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. Our robots have been operational for a combined duration of 104 days over four deployments, autonomously performing end-user-defined tasks and traversing 116 km in the process. In this article, we describe the approach we 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.

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