SOURCE-LINKED INTELLIGENCE
ActiveArena: Benchmarking and Understanding Active Perception in Robotic Manipulation
Active perception and manipulation are crucial for robots to interact with complex scenes. Existing benchmarks struggle to evaluate how robots effectively acquire and maintain information in memory in an active manner. To this end, we introduce ActiveArena-Sim, an active-perception simulator with controllable viewpoints and large-scale workspaces as the foundation. Built on this, we propose ActiveArena-Bench, which comprises 35 tasks across 5 fine-grained categories, covering visual exploration and interactive information acquisition. Each task is difficult to solve from passive observations a
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-21T05:23:37.000Z
First collected: 2026-09-23T08:01:43.213Z. This is not the publication date.