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Bionic Technology in Prosthetics: Multi-Objective Optimization of a Bioinspired Shoulder-Elbow Prosthesis with

Jingxu Jiang1, Gengbiao Chen2, Xin Wang2

  • 1International College of Engineering, Changsha University of Science and Technology, Changsha 410114, China.

Biomimetics (Basel, Switzerland)
|January 27, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a novel bionic prosthetic system with an advanced shoulder and elbow joint, improving dexterity and workspace for upper-limb prostheses. The design enhances user experience and reduces abandonment rates in wearable robotics.

Keywords:
bioinspired designbionic technologyembedded actuationintegrated prosthetic systemmulti-objective optimizationshape memory alloy (SMA)spherical parallel mechanism (SPM)upper-limb prosthesis

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Area of Science:

  • Biomedical Engineering
  • Robotics
  • Biomechanics

Background:

  • Upper-limb prostheses face challenges like limited dexterity, restricted workspace, and bulkiness, leading to high user abandonment.
  • Proximal joint limitations (shoulder, elbow) significantly impact prosthetic functionality and user satisfaction.

Purpose of the Study:

  • To develop a novel, bioinspired, and integrated prosthetic system to overcome existing limitations in upper-limb prostheses.
  • To enhance prosthetic performance through advanced joint mechanisms and optimization techniques.

Main Methods:

  • Designed a shoulder joint using an asymmetric 3-RRR spherical parallel mechanism (SPM) with embedded actuators.
  • Developed an elbow joint actuated by low-voltage Shape Memory Alloy (SMA) springs.
  • Utilized Multi-Objective Particle Swarm Optimization (MOPSO) to optimize workspace, dexterity, and joint torque.

Main Results:

  • Achieved 85% coverage of the natural shoulder's workspace.
  • Demonstrated structural integrity with a maximum von Mises stress of 3.4 MPa under a 40 N load.
  • Obtained a sub-0.2 s response time for the SMA-driven elbow at 6 V and 6°/s, validating smooth, anthropomorphic motion.

Conclusions:

  • The developed prosthetic system offers a lightweight, high-performance solution for upper-limb prosthetics.
  • This framework lays the foundation for next-generation wearable robotics and bionic devices.
  • Future work will integrate neural interfaces for intuitive prosthetic control.