Design and Implementation of a Soft-Rigid Hybrid Gripper with Bionic Ligaments and Joint Capsule.

Journal: Soft robotics
Published Date:

Abstract

Dealing with grasping tasks in unstructured environments, existing soft grippers often exhibit a lack of static stability, while rigid-soft hybrid grippers display limited compliance due to the fixed connections at the joints. To address the challenge of balancing static stability and flexible adaptability, this study designs and implements a bioinspired hybrid gripper combining soft and rigid elements. The gripper draws inspiration from the collateral ligaments and joint capsule structures of human fingers. It employs a tendon-driven mechanism that ensures high static stability while enabling a large range of flexion movements and some degree of deflection, mimicking the dynamic bending of a human finger. Experimental results demonstrate that the hybrid fingers excel in terms of static stability, working range, and output force. Notably, under conditions of extensor tendon pretension, the fingers exhibit finer motion toward the fingertips. The dual-finger gripper performs exceptionally well in various grasping tasks, stably grasping objects of different shapes and weights, such as the Evolved Grasp Analysis Dataset and common daily items. This study offers a novel and straightforward design approach for the development of bioinspired fingers and high-performance robots, holding broad application prospects.

Authors

  • Tianze Hao
    Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, Tianjin, China.
  • Yue Ma
    The School of Civil Engineering, Harbin University, Harbin 150086, China.
  • Jingjing Feng
    Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, Tianjin, China.
  • Songtao Liu
    CAS Key Laboratory of Soft Matter Chemistry, Department of Polymer Science and Engineering, University of Science and Technology of China, Hefei 230026, PR China.
  • Jutao Wang
    Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, Tianjin, China.