分散触覚センシングによる外部接触と把持内姿勢の同時推定
Simultaneous Extrinsic Contact and In-Hand Pose Estimation via Distributed Tactile Sensing
触覚センサの局所観測と接触の物理制約をファクタグラフで統合し、物体の把持内姿勢と外部接触を同時推定する手法を提案。触覚のみでも既存手法を上回る精度を実現。
詳しい要約
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著者: Mark Van der Merwe, Kei Ota, Dmitry Berenson, Nima Fazeli, Devesh K. Jha
分類: cs.RO
原文アブストラクト
Prehensile autonomous manipulation, such as peg insertion, tool use, or assembly, require precise in-hand understanding of the object pose and the extrinsic contacts made during interactions. Providing accurate estimation of pose and contacts is challenging. Tactile sensors can provide local geometry at the sensor and force information about the grasp, but the locality of sensing means resolving poses and contacts from tactile alone is often an ill-posed problem, as multiple configurations can be consistent with the observations. Adding visual feedback can help resolve ambiguities, but can suffer from noise and occlusions. In this work, we propose a method that pairs local observations from sensing with the physical constraints of contact. We propose a set of factors that ensure local consistency with tactile observations as well as enforcing physical plausibility, namely, that the estimated pose and contacts must respect the kinematic and force constraints of quasi-static rigid body interactions. We formalize our problem as a factor graph, allowing for efficient estimation. In our experiments, we demonstrate that our method outperforms existing geometric and contact-informed estimation pipelines, especially when only tactile information is available. Video results can be found at https://tacgraph.github.io/.
