Should we get involved? impact of human collaboration and intervention on multi-robot teams

This study demonstrates that both the number of robots in a multi-robot team (MRT) and the inclusion of a human in the loop significantly influence system performance. The findings also highlight the value of simulation as a cost- and time-efficiency strategy to evaluate MRT configurations prior to real-world implementation.

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Publication Details

Journal
Frontiers in Robotics and AI
Published
2025-10-15
DOI
https://doi.org/10.3389/frobt.2025.1526287
Primary Topic
Reinforcement Learning in Robotics
Type
article
Field-Weighted Citation Impact
0.00
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article

Should we get involved? impact of human collaboration and intervention on multi-robot teams

Joseph Bolarinwa, Paul Bremner, Manuel Giuliani
Frontiers in Robotics and AI
Reinforcement Learning in Robotics
article

Should we get involved? impact of human collaboration and intervention on multi-robot teams

Joseph Bolarinwa, Paul Bremner, Manuel Giuliani
article en

Abstract

This study demonstrates that both the number of robots in a multi-robot team (MRT) and the inclusion of a human in the loop significantly influence system performance. The findings also highlight the value of simulation as a cost- and time-efficiency strategy to evaluate MRT configurations prior to real-world implementation.

Frontiers in Robotics and AIVol. 12
University of the West of England (GB), Kempten University of Applied Sciences (DE), University of Manchester (GB), Bristol Robotics Laboratory (GB)
Openalex Percentile: Top 85%
Reinforcement Learning in Robotics
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