Recovering the View: Benchmarking Physical Active Vision for Occlusion Recovery in Robotic Manipulation
cs.RO
Submitted: 2026-09-29
Updated: 2026-09-29
Comments: 20 pages, 8 figures, Project page: https://hcplab-sysu.github.io/BAVO-Bench
Code: https://github.com/Lijiaxin0111/Open-d4rt
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Towards Exploratory and Focused Manipulation with Bimanual Active Perception: A New Problem, Benchmark and Strategy
- AnyCamVLA: Zero-Shot Camera Adaptation for Viewpoint Robust Vision-Language-Action Models
- ActiveArena: Benchmarking and Understanding Active Perception in Robotic Manipulation
- TAVIS: A Benchmark for Egocentric Active Vision and Anticipatory Gaze in Imitation Learning
- World Action Models are Zero-shot Policies
- Learning 4D Geometric Priors for Inference-Efficient World Action Models
- ActiveScale: Scaling Active Perception for Robots across Model, Data, and Hardware
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