Guoying Gu

Abstract INTRODUCTION RESULTS DISCUSSION MATERIALS AND METHODS Acknowledgments Supplementary Materials REFERENCES Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Accurate decoding of movement intent from muscle signals is essential for dexterous prosthetic control.

Abstract Robotic prostheses are the primary replacement for upper-limb amputees’ lost hands. Although various neuroprosthetic hands have been developed, featuring both rigid and soft mechanisms, they typically offer grasping-oriented functionality with fewer degrees of freedom (DOFs, ≤6). Herein, we report a dexterous soft neuroprosthetic hand with 11 active DOFs that restores common grasping and fine manipulation, validated by four amputee subjects (aged 38–70 years, male and female).

Abstract In dexterous robotic hand design, achieving high mobility and adaptability comparable to human hands remains an ongoing challenge. Biomimetic designs mimicking the musculoskeletal structure have shown promise yet face difficulties in preserving key kinematic and mechanical principles while reducing system complexity.