A MARL framework lets robot teams optimize monitoring accuracy for dynamic indoor human activities via decentralized policies that handle variable human counts and time dependencies, outperforming coverage baselines in simulations.
A decentralized mul- tirobot spatiotemporal multitask assignment approach for perimeter defense
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning
A MARL framework lets robot teams optimize monitoring accuracy for dynamic indoor human activities via decentralized policies that handle variable human counts and time dependencies, outperforming coverage baselines in simulations.