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Multi-Agent Belief Sharing through Autonomous Hierarchical Multi-Level Clustering
[article]
2021
arXiv
pre-print
Coordination in multi-agent systems is challenging for agile robots such as unmanned aerial vehicles (UAVs), where relative agent positions frequently change due to unconstrained movement. The problem is exacerbated through the individual take-off and landing of agents for battery recharging leading to a varying number of active agents throughout the whole mission. This work proposes autonomous hierarchical multi-level clustering (MLC), which forms a clustering hierarchy utilizing decentralized
arXiv:2107.09973v1
fatcat:j6iatr4eqbbtdbfqfasyf3tpdq