Distributed Gaussian Process Mapping for Robot Teams with Time-varying Communication

@article{Di2021DistributedGP,
  title={Distributed Gaussian Process Mapping for Robot Teams with Time-varying Communication},
  author={James Di and Ehsan Zobeidi and Alec Koppel and Nikolay A. Atanasov},
  journal={2022 American Control Conference (ACC)},
  year={2021},
  pages={4458-4464}
}
Multi-agent mapping is a fundamentally important capability for autonomous robot task coordination and execution in complex environments. While successful algorithms have been proposed for mapping using individual platforms, cooperative online mapping for teams of robots remains largely a challenge. A critical question to enabling this capability is how to process and aggregate incrementally observed local information among individual platforms, especially when their ability to communicate is… 
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