ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1604.04384
43
216

The STRANDS Project: Long-Term Autonomy in Everyday Environments

15 April 2016
Nick Hawes
Christopher Burbridge
Ferdian Jovan
Lars Kunze
Bruno Lacerda
Lenka Mudrová
Jay Young
J. Wyatt
D. Hebesberger
Tobias Kortner
Rares Andrei Ambrus
Nils Bore
John Folkesson
Patric Jensfelt
Lucas Beyer
Alexander Hermans
Bastian Leibe
A. Aldoma
Thomas Faulhammer
M. Zillich
Markus Vincze
E. Chinellato
Muhannad Al-Omari
Paul Duckworth
Y. Gatsoulis
David C. Hogg
Anthony G. Cohn
Christian Dondrup
Jaime Pulido Fentanes
T. Krajník
J. M. Santos
T. Duckett
Marc Hanheide
ArXivPDFHTML
Abstract

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 project 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.

View on arXiv
Comments on this paper