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Related Experiment Video

Updated: Feb 16, 2026

Author Spotlight: Enhancing Grasping Abilities for Hemiplegic Patients with Flexible Robotic Limbs
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Novel Variable-Stiffness Robotic Fingers with Built-In Position Feedback.

Yang Yang1, Yonghua Chen1, Yingtian Li1

  • 1Department of Mechanical Engineering, The University of Hong Kong , Pokfulam Road, Hong Kong, China .

Soft Robotics
|December 19, 2017
PubMed
Summary

This study introduces a novel 3D-printed soft robotic finger using shape memory polymer (SMP) and conductive thermoplastic polyurethane (TPU). This design enables controllable stiffness and precise position feedback for advanced soft robotics applications.

Keywords:
conductive elastomerrobotic grippershape memory polymersoft roboticsvariable stiffness

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Area of Science:

  • Robotics
  • Materials Science
  • Polymer Science

Background:

  • Soft robotic applications are limited by poor compliance control and lack of sensory feedback.
  • Existing soft robots often struggle with integrating stiffness modulation and position sensing capabilities.

Purpose of the Study:

  • To develop a soft robotic finger with controllable compliance and integrated position feedback.
  • To demonstrate a novel multi-smart material substrate for enhanced soft robotic functionality.

Main Methods:

  • Fabrication of a 3D-printed substrate using shape memory polymer (SMP) and conductive thermoplastic polyurethane (TPU).
  • Modulation of finger stiffness by exploiting the temperature-dependent elastic modulus of SMP near its glass transition temperature (Tg).
  • Integration of position feedback using the piezoresistive properties of conductive TPU, which also provides Joule heating for temperature control.

Main Results:

  • Successfully demonstrated controllable compliance in the soft robotic finger.
  • Achieved accurate position feedback through the piezoresistive effect of the conductive TPU.
  • Theoretical models for stiffness modulation and position feedback were developed and experimentally validated.

Conclusions:

  • The novel 3D-printed multi-smart material substrate effectively addresses key limitations in soft robotics.
  • This design offers a promising pathway for creating more versatile and controllable soft robotic systems.
  • The integration of tunable stiffness and position sensing opens new possibilities for soft robot applications.