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マニピュレーションarXiv:2305.09644

RAMP:ロボット組立操作と計画のためのベンチマーク

RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning

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実世界の産業組立作業に着想を得たオープンソースのロボットベンチマークRAMPを提案し、梁をペグで組み立てる課題を通じて知覚・推論・操作・診断・復旧・目標解析の能力を評価する。

著者: Jack Collins, Mark Robson, Jun Yamada, Mohan Sridharan, Karol Janik, Ingmar Posner

分類: cs.RO

原文アブストラクト

We introduce RAMP, an open-source robotics benchmark inspired by real-world industrial assembly tasks. RAMP consists of beams that a robot must assemble into specified goal configurations using pegs as fasteners. As such, it assesses planning and execution capabilities, and poses challenges in perception, reasoning, manipulation, diagnostics, fault recovery, and goal parsing. RAMP has been designed to be accessible and extensible. Parts are either 3D printed or otherwise constructed from materials that are readily obtainable. The design of parts and detailed instructions are publicly available. In order to broaden community engagement, RAMP incorporates fixtures such as April Tags which enable researchers to focus on individual sub-tasks of the assembly challenge if desired. We provide a full digital twin as well as rudimentary baselines to enable rapid progress. Our vision is for RAMP to form the substrate for a community-driven endeavour that evolves as capability matures.

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