James Tung

About

James Tung is a leading researcher at the intersection of rehabilitation robotics, assistive technology, and human-machine interaction. His work focuses on developing intelligent systems that enhance mobility and quality of life for individuals with physical disabilities. Tung’s major contributions include pioneering unsupervised fault detection and recovery algorithms for smart rollators, which improve safety and reliability for aging populations—a paper that has garnered 13 citations. He also developed an innovative air microfluidics-enabled soft robotic socket liner for transtibial amputees, addressing residual limb volume fluctuations and contact pressures that cause skin ulcerations and pain; this work, with 9 citations, represents a significant step toward dynamic prosthetic fit management. Additionally, Tung has explored the role of visual information in bimanual motor control using robotic platforms and advanced learning-aided user intent estimation for smart rollators, achieving 4 citations each. His research not only advances fundamental understanding of motor behavior but also translates into practical, life-changing technologies. Tung’s achievements underscore his commitment to creating safer, more adaptive assistive devices that empower individuals with mobility challenges.

Research Focus

Key Achievements

Top Papers

1. 1
   Unsupervised fault detection and recovery for intelligent robotic rollators

   13 citations · 2021
2. 2
   Air microfluidics-enabled soft robotic transtibial prosthesis socket liner toward dynamic management of residual limb contact pressure and volume fluctuation

   9 citations · 2022
3. 3
   Effect of Visual Information on Dominant and Non-dominant Hands During Bimanual Drawing with a Robotic Platform

   4 citations · 2019
4. 4
   Learning-Aided User Intent Estimation for Smart Rollators

   4 citations · 2020

Key Collaborators

Contact & Links