[2602.01939] Towards Exploratory and Focused Manipulation with Bimanual Active Perception: A New Problem, Benchmark and Strategy

[2602.01939] Towards Exploratory and Focused Manipulation with Bimanual Active Perception: A New Problem, Benchmark and Strategy

arXiv - AI 4 min read

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Abstract page for arXiv paper 2602.01939: Towards Exploratory and Focused Manipulation with Bimanual Active Perception: A New Problem, Benchmark and Strategy

Computer Science > Robotics arXiv:2602.01939 (cs) [Submitted on 2 Feb 2026 (v1), last revised 5 Mar 2026 (this version, v2)] Title:Towards Exploratory and Focused Manipulation with Bimanual Active Perception: A New Problem, Benchmark and Strategy Authors:Yuxin He, Ruihao Zhang, Tianao Shen, Cheng Liu, Qiang Nie View a PDF of the paper titled Towards Exploratory and Focused Manipulation with Bimanual Active Perception: A New Problem, Benchmark and Strategy, by Yuxin He and 4 other authors View PDF HTML (experimental) Abstract:Recently, active vision has reemerged as an important concept for manipulation, since visual occlusion occurs more frequently when main cameras are mounted on the robot heads. We reflect on the visual occlusion issue and identify its essence as the absence of information useful for task completion. Inspired by this, we come up with the more fundamental problem of Exploratory and Focused Manipulation (EFM). The proposed problem is about actively collecting information to complete challenging manipulation tasks that require exploration or focus. As an initial attempt to address this problem, we establish the EFM-10 benchmark that consists of 4 categories of tasks that align with our definition (10 tasks in total). We further come up with a Bimanual Active Perception (BAP) strategy, which leverages one arm to provide active vision and another arm to provide force sensing while manipulating. Based on this idea, we collect a dataset named BAPData for the ta...

Originally published on March 06, 2026. Curated by AI News.

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