AI & ML
Collaboration in Multi-Robot Systems: Taxonomy and Survey of Frameworks for Collaboration
arXiv eess.SY0 views
arXiv:2603.23898v2 Announce Type: replace Abstract: 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.
Source:https://arxiv.org/abs/2603.23898PreviousReal-time Coordination of Cascaded Hydropower under Decision-Dependent UncertaintyNextOn observer forms for hyperbolic PDEs with boundary dynamics
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