I‐Chieh Lee

About

I-Chieh Lee is a pioneering researcher at the intersection of artificial intelligence and medical robotics, with a particular focus on advancing safe, intelligent wearable technologies. Their work centers on human-prosthesis interaction, gait stability analysis, and fault-tolerant control systems for lower-limb prostheses. Lee’s most influential contribution, “Artificial intelligence meets medical robotics” (2023), has garnered 180 citations, establishing a foundational framework for integrating AI—including computer vision and machine learning—into diagnostic, surgical, rehabilitation, and prosthetic devices. This work highlights a transformative vision where medical robots evolve from tools to collaborative partners. Lee’s subsequent studies, though more recent, address a critical safety gap: how internal control faults in robotic prostheses affect user stability and gait. By characterizing prosthesis control faults during interactive walking and linking quantitative gait metrics to user perception, Lee provides essential insights for designing safer human-robot interactions. Their research not only advances technical robustness but also prioritizes user confidence and quality of life—a holistic approach that positions Lee as a key voice in the future of symbiotic wearable robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Artificial intelligence meets medical robotics

   180 citations · 2023
2. 2
   Toward Safe Wearer-Prosthesis Interaction: Evaluation of Gait Stability and Human Compensation Strategy Under Faults in Robotic Transfemoral Prostheses

   6 citations · 2022
3. 3
   Characterizing Prosthesis Control Fault During Human-Prosthesis Interactive Walking Using Intrinsic Sensors

   6 citations · 2022
4. 4
   Investigating the Association of Quantitative Gait Stability Metrics With User Perception of Gait Interruption Due to Control Faults During Human-Prosthesis Interaction

   3 citations · 2023

Key Collaborators

Contact & Links