The STRANDS Project: Long-Term Autonomy in Everyday Environments

Nick Hawes; Christopher Burbridge; Ferdian Jovan; Lars Kunze; Bruno Lacerda; Lenka Mudrová; Jay Young; Jeremy Wyatt; Denise Hebesberger; Tobias Körtner; Rares Ambrus; Nils Bore; John Folkesson; Patric Jensfelt; Lucas Beyer; Alexander Hermans; Bastian Leibe; Aitor Aldoma; Thomas Faülhammer; Michael Zillich; Markus Vincze; Eris Chinellato; Muhannad Al-Omari; Paul Duckworth; Yiannis Gatsoulis; David C. Hogg; Anthony G. Cohn; Christian Dondrup; Jaime Pulido Fentanes; Tomáš Krajník; João M. Santos; Tom Duckett; Marc Hanheide

doi:10.1109/MRA.2016.2636359

The STRANDS Project: Long-Term Autonomy in Everyday Environments

Nick Hawes, Christopher Burbridge, Ferdian Jovan, Lars Kunze, Bruno Lacerda, Lenka Mudrová, Jay Young, Jeremy Wyatt, Denise Hebesberger, Tobias Körtner, Rares Ambrus, Nils Bore, John Folkesson, Patric Jensfelt, Lucas Beyer, Alexander Hermans, Bastian Leibe, Aitor Aldoma, Thomas Faülhammer, Michael ZillichMarkus Vincze, Eris Chinellato, Muhannad Al-Omari, Paul Duckworth, Yiannis Gatsoulis, David C. Hogg, Anthony G. Cohn, Christian Dondrup, Jaime Pulido Fentanes, Tomáš Krajník, João M. Santos, Tom Duckett, Marc Hanheide

Research output: Contribution to journal › Article › peer-review

138 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	146-156
Number of pages	11
Journal	IEEE Robotics and Automation Magazine
Volume	24
Issue number	3
Early online date	14 Jun 2017
DOIs	https://doi.org/10.1109/MRA.2016.2636359
Publication status	Published - Sept 2017

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/MRA.2016.2636359

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Cite this

Hawes, N., Burbridge, C., Jovan, F., Kunze, L., Lacerda, B., Mudrová, L., Young, J., Wyatt, J., Hebesberger, D., Körtner, T., Ambrus, R., Bore, N., Folkesson, J., Jensfelt, P., Beyer, L., Hermans, A., Leibe, B., Aldoma, A., Faülhammer, T., ... Hanheide, M. (2017). The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics and Automation Magazine, 24(3), 146-156. https://doi.org/10.1109/MRA.2016.2636359

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abstract = "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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Hawes, N, Burbridge, C, Jovan, F, Kunze, L, Lacerda, B, Mudrová, L, Young, J, Wyatt, J, Hebesberger, D, Körtner, T, Ambrus, R, Bore, N, Folkesson, J, Jensfelt, P, Beyer, L, Hermans, A, Leibe, B, Aldoma, A, Faülhammer, T, Zillich, M, Vincze, M, Chinellato, E, Al-Omari, M, Duckworth, P, Gatsoulis, Y, Hogg, DC, Cohn, AG, Dondrup, C, Pulido Fentanes, J, Krajník, T, Santos, JM, Duckett, T & Hanheide, M 2017, 'The STRANDS Project: Long-Term Autonomy in Everyday Environments', IEEE Robotics and Automation Magazine, vol. 24, no. 3, pp. 146-156. https://doi.org/10.1109/MRA.2016.2636359

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AU - Hawes, Nick

AU - Burbridge, Christopher

AU - Jovan, Ferdian

AU - Kunze, Lars

AU - Lacerda, Bruno

AU - Mudrová, Lenka

AU - Young, Jay

AU - Wyatt, Jeremy

AU - Hebesberger, Denise

AU - Körtner, Tobias

AU - Ambrus, Rares

AU - Bore, Nils

AU - Folkesson, John

AU - Jensfelt, Patric

AU - Beyer, Lucas

AU - Hermans, Alexander

AU - Leibe, Bastian

AU - Aldoma, Aitor

AU - Faülhammer, Thomas

AU - Zillich, Michael

AU - Vincze, Markus

AU - Chinellato, Eris

AU - Al-Omari, Muhannad

AU - Duckworth, Paul

AU - Gatsoulis, Yiannis

AU - Hogg, David C.

AU - Cohn, Anthony G.

AU - Dondrup, Christian

AU - Pulido Fentanes, Jaime

AU - Krajník, Tomáš

AU - Santos, João M.

AU - Duckett, Tom

AU - Hanheide, Marc

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The STRANDS Project: Long-Term Autonomy in Everyday Environments

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Christian Dondrup

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The STRANDS Project: Long-Term Autonomy in Everyday Environments

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Christian Dondrup

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