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A Dual-Adhesion-Enhanced Soft Gripper with Microwedge Adhesives and SMA-Driven Microspines

Chang Wang, Peijin Zi, Yang Luo, Bochao Song, Tao Zhang, Kun Xu, Xilun Ding

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Key figure (auto-extracted from paper)
A bioinspired soft gripper seamlessly switches between microwedge dry adhesion and SMA-driven microspines to achieve heavy payloads on both smooth and rough surfaces.
Soft gripper Dual-adhesion Microwedge adhesive SMA microspine Bioinspired design Grasping optimization

Problem

Soft grippers often fail under heavy loads, and existing adhesion-enhanced designs typically target only smooth or rough surfaces, limiting their adaptability in unstructured environments.

Approach

The authors developed a dual-adhesion soft gripper combining shear-activated microwedge adhesives for smooth surfaces with shape-memory-alloy-driven microspines for rough surfaces, optimized via a geometric model to balance grasping force and radius.

Key results

  • Achieved 34.9 N payload and 260 mm grasping diameter in adhesive mode
  • Supported 20.4 N payload and 280 mm diameter in microspine mode
  • Reached 6.2 N clamping force for precise manipulation of small rigid objects
  • Optimized link dimensions (lCD=24.3 mm, lDE=56.9 mm) to balance force and graspable radius

Why it matters

Provides a versatile, adaptable end-effector for soft robotics that reliably handles diverse objects and surfaces in complex, real-world environments.

Abstract

Soft grippers are highly valued for their adaptability and safety, but their inherent softness often leads to grasping failure under heavy loads. Most adhesion-enhanced grippers rely on single-adhesion strategies tailored for either smooth or rough surfaces. Lizards, however, effectively navigate in unstructured en- vironments by seamlessly transitioning between different adhesion mechanisms based on surface conditions. Inspired by the hybrid adhesion strategies of geckos and chameleons, this study presents a bioinspired soft gripper that integrates microwedge dry adhesives and SMA-driven microspines. The microwedge adhesives provide controllable adhesion for smooth surfaces, while the SMA-driven microspines extend for rough-surface adhesion and retract to avoid interference. An optimization model was developed to determine optimal link dimensions, enhancing grasping performance in terms of force and radius. Experimental results on various surfaces vali- dated its efficacy. Notably, the gripper with non-backed adhesives achieved 34.9 N payload and 260 mm grasping diameter, marking improvements of 209% and 117%, respectively, over the version without adhesives. In microspine mode, the gripper supported a 20.4 N payload and a 280 mm diameter. In tip clamping mode, the maximum payload reached 6.2 N when grasping a 2 cm block.

Index terms

Grippers and Other End-Effectors Soft Robot Materials and Design Grasping

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