横方向コンプライアンスと器用な把持内操作を実現する軟硬ハイブリッドグリッパ
A Soft-Rigid Hybrid Gripper with Lateral Compliance and Dexterous In-hand Manipulation
人間の中手指節関節に着想を得て、8本の独立した空圧筋肉を備えた軟硬ハイブリッドグリッパを設計し、把持内操作や横方向の受動コンプライアンス、新たな制御モードを実現した。自重の25倍以上の物体を把持でき、双腕ロボット上で綱引きやタオル受け渡しなどの人間らしい巧みな操作を実演した。
著者: Wenpei Zhu, Chenghua Lu, Qule Zheng, Zhonggui Fang, Haichuan Che, Kailuan Tang, Mingchao Zhu, Sicong Liu, Zheng Wang
分類: cs.RO
原文アブストラクト
Soft grippers are receiving growing attention due to their compliance-based interactive safety and dexterity. Hybrid gripper (soft actuators enhanced by rigid constraints) is a new trend in soft gripper design. With right structural components actuated by soft actuators, they could achieve excellent grasping adaptability and payload, while also being easy to model and control with conventional kinematics. However, existing works were mostly focused on achieving superior payload and perception with simple planar workspaces, resulting in far less dexterity compared with conventional grippers. In this work, we took inspiration from the human Metacarpophalangeal (MCP) joint and proposed a new hybrid gripper design with 8 independent muscles. It was shown that adding the MCP complexity was critical in enabling a range of novel features in the hybrid gripper, including in-hand manipulation, lateral passive compliance, as well as new control modes. A prototype gripper was fabricated and tested on our proprietary dual-arm robot platform with vision guided grasping. With very lightweight pneumatic bellows soft actuators, the gripper could grasp objects over 25 times its own weight with lateral compliance. Using the dual-arm platform, highly anthropomorphic dexterous manipulations were demonstrated using two hybrid grippers, from Tug-of-war on a rigid rod, to passing a soft towel between two grippers using in-hand manipulation. Matching with the novel features and performance specifications of the proposed hybrid gripper, the underlying modeling, actuation, control, and experimental validation details were also presented, offering a promising approach to achieving enhanced dexterity, strength, and compliance in robotic grippers.
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