A Successive-Elimination Approach to Adaptive Robotic Source Seeking
IEEE Trans. Robotics, pp. 34-47, 2021.
We study an adaptive source seeking problem, in which a mobile robot must identify the strongest emitter(s) of a signal in an environment with background emissions. Background signals may be highly heterogeneous and can mislead algorithms that are based on receding horizon control, greedy heuristics, or smooth background priors. We prop...More
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