A Soft-Rigid Hybrid Gripper with Lateral Compliance and Dexterous In-hand Manipulation

夹持器 执行机构 抓住 机器人 工程类 有效载荷(计算) 工作区 软机器人 计算机科学 控制工程 模拟 机械工程 人工智能 计算机网络 软件工程 网络数据包
作者
Wenpei Zhu,Chenghua Lu,Qule Zheng,Zhonggui Fang,Haichuan Che,Kailuan Tang,Mingchao Zhu,Sicong Liu,Zheng Wang
出处
期刊:Cornell University - arXiv [Cornell University]
被引量:3
标识
DOI:10.48550/arxiv.2110.10035
摘要

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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