Collaboration in Multi-Robot Systems: Taxonomy and Survey over Frameworks for Collaboration

Fuente: arXiv
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Auteurs principaux: Karam, Riwa, Nguyen, Alexander A., Lin, Ruoyu, Martin, David R., Morales, Diana, Butler, Brooks A., Egerstedt, Magnus
Format: Preprint
Publié: 2026
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author Karam, Riwa
Nguyen, Alexander A.
Lin, Ruoyu
Martin, David R.
Morales, Diana
Butler, Brooks A.
Egerstedt, Magnus
author_facet Karam, Riwa
Nguyen, Alexander A.
Lin, Ruoyu
Martin, David R.
Morales, Diana
Butler, Brooks A.
Egerstedt, Magnus
contents Collaboration is a central theme in multi-robot systems as tasks and demands increasingly require capabilities that go beyond what any one individual robot possesses. Yet, despite extensive work on cooperative control and coordinated behaviors, the terminology surrounding collective multi-robot interaction remains inconsistent across research communities. In particular, cooperation, coordination, and collaboration are often treated interchangeably, without clearly articulating the differences among them. To address this gap, we propose definitions that distinguish and relate cooperation, coordination, and collaboration in multi-robot systems, highlighting the support of new capabilities in collaborative behaviors, and illustrate these concepts through representative examples. Building on this taxonomy, different frameworks for collaboration are reviewed, and technical challenges and promising future research directions are identified for collaborative multi-robot systems.
format Preprint
id arxiv_https___arxiv_org_abs_2603_23898
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Collaboration in Multi-Robot Systems: Taxonomy and Survey over Frameworks for Collaboration
Karam, Riwa
Nguyen, Alexander A.
Lin, Ruoyu
Martin, David R.
Morales, Diana
Butler, Brooks A.
Egerstedt, Magnus
Systems and Control
Collaboration is a central theme in multi-robot systems as tasks and demands increasingly require capabilities that go beyond what any one individual robot possesses. Yet, despite extensive work on cooperative control and coordinated behaviors, the terminology surrounding collective multi-robot interaction remains inconsistent across research communities. In particular, cooperation, coordination, and collaboration are often treated interchangeably, without clearly articulating the differences among them. To address this gap, we propose definitions that distinguish and relate cooperation, coordination, and collaboration in multi-robot systems, highlighting the support of new capabilities in collaborative behaviors, and illustrate these concepts through representative examples. Building on this taxonomy, different frameworks for collaboration are reviewed, and technical challenges and promising future research directions are identified for collaborative multi-robot systems.
title Collaboration in Multi-Robot Systems: Taxonomy and Survey over Frameworks for Collaboration
topic Systems and Control
url https://arxiv.org/abs/2603.23898