A Successive-Elimination Approach to Adaptive Robotic Sensing
arXiv: Learning, Volume abs/1809.10611, 2018.
We study the adaptive sensing problem for the multiple source seeking problem, where a mobile robot must identify the strongest emitters in an environment with background emissions. Background signals may be highly heterogeneous, and can mislead algorithms which are based on receding horizon control, greedy heuristics, or smooth backgroun...More
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