Related Experiment Video
Updated: Sep 19, 2026

A Flexible Wearable Supernumerary Robotic Limb for Chronic Stroke Patients
Published on: October 27, 2023
A Bioinspired Bistable Robotic Gripper with Decoupled Palm and Finger Reconfiguration
Tangyan Wang1, Tianyu Cheng1, Shaokun Wang1
1College of Intelligent Robotics and Advanced Manufacturing, Fudan University, 220 Handan Road, Yangpu District, Shanghai, 200433, China.
Abstract:
Existing soft grippers often suffer from slow actuation, continuous energy consumption during grasp maintenance, and limited payload-to-weight ratios, which restrict their application in dynamic and unstructured environments. In addition, fixed-geometry designs and multi-actuator architectures frequently compromise geometric adaptability and increase control complexity. To address these limitations, this paper presents a three-finger adaptive bioinspired gripper driven by prestressed tape springs, inspired by the dual-dimensional prey-capture mechanism of Drosera capensis and the basal-scale adaptation strategy of the octopus. A hierarchical bioinspired design is realized through a reconfigurable palm based on a crank-slider linkage for synchronous radial spacing adjustment, together with retractable, variable-length fingers that continuously adapt to objects of different sizes. A centralized cable-driven triggering mechanism exploits the bistable snap-through behavior of prestressed tape springs to achieve rapid compliant enveloping and zero-power grasp maintenance. A discrete rigid-segment kinematic model is developed to characterize the triggering and curling process, revealing a fully decoupled grasping workspace with a palm diameter ranging from 90 mm to 160 mm and finger lengths adjustable from 0 to 135 mm. Experimental results demonstrate closure times below 60 ms across all configurations, a payload-to-weight ratio of 18.75, and a 100% success rate in damage-free static grasping of 19 objects with diverse geometries, materials, and masses. The proposed design integrates biological adaptive capture strategies with a reconfigurable bistable architecture, providing an energy-efficient and low-dimensional solution for adaptive robotic grasping in unstructured environments.

