A kinetic theory decomposes encounter-based information propagation into access, staleness, and geometry limits that govern multi-robot target tracking performance in simulations.
arXiv preprint arXiv:2508.04537 (2025)
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A Bayesian Network models relationships between latent hazard locations and path-based observations to produce more principled belief updates and quicker convergence than previous methods in single- and multi-robot hazard detection.
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A Kinetic Theory of Encounter-Based Information Propagation in Multi-Robot Systems
A kinetic theory decomposes encounter-based information propagation into access, staleness, and geometry limits that govern multi-robot target tracking performance in simulations.
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Bayesian Networks for Path-Based Sensors: Gathering Information and Path Planning in Communication Denied Environments
A Bayesian Network models relationships between latent hazard locations and path-based observations to produce more principled belief updates and quicker convergence than previous methods in single- and multi-robot hazard detection.