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October 20, 2025Open Access

Multi-Robot Allocation for Information Gathering in Non-Uniform Spatiotemporal Environments

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Authors

KNKaleb Ben NaveedHLHaejoon LeeDPDimitra Panagou

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Overview

Proposed two-phase framework enhances uncertainty estimation in dynamic environments through robot allocation.

Key Points

  • Proposed multi-robot allocation method improves information gathering in non-uniform spatiotemporal environments.
  • Phase 1 focuses on learning region-specific spatial lengthscales to enhance estimation accuracy.
  • Allocation strategy in Phase 2 utilizes current uncertainty to dynamically reassign robots for improved efficiency.
  • Dynamic regret bounds provide quantifiable assessment of allocation against an optimal oracle sequence.

Cite This Study

Naveed et al. (2025) studied this question.

synapsesocial.com/papers/68f6196ee0bbbc94fac3643dhttps://doi.org/10.48550/arxiv.2509.22883
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