AI RESEARCH
A Distributed Gaussian Process Model for Multi-Robot Mapping
arXiv CS.LG
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ArXi:2603.07351v1 Announce Type: cross We propose DistGP: a multi-robot learning method for collaborative learning of a global function using only local experience and computation. We utilise a sparse Gaussian process (GP) model with a factorisation that mirrors the multi-robot structure of the task, and admits distributed