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Recovering the View: Benchmarking Physical Active Vision for Occlusion Recovery in Robotic Manipulation
Physical active vision allows robots to change their viewpoint when task-relevant observations become unreliable, yet existing manipulation benchmarks provide limited support for studying how policies recover from occlusion during execution. We introduce BAVO-Bench (Bimanual Active Vision under Occl
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