Il Hwan Kim
Papers
2
Total Citations
9
H-Index
2
About
Il Hwan Kim’s research lies at the intersection of rehabilitation robotics and human motor control, with a focus on restoring upper-limb function after neurological injury. His most cited work, a 2017 study on using machine learning classifiers to evaluate movement quality during unassisted pick-and-place exercises for post-stroke patients, demonstrates a pioneering approach to autonomous robot therapy. By enabling service robots to monitor and reinforce therapeutically desirable movements in real time, Kim’s contributions directly address the challenge of delivering consistent, data-driven rehabilitation without constant therapist oversight. This work, garnering 7 citations, highlights his impact in developing intelligent systems that adapt to individual patient performance. Earlier, Kim explored the biomechanics of human grasping in a foundational 1991 study, applying insights to robot hand design—a precursor to his later clinical focus. His research bridges engineering and neurorehabilitation, offering scalable solutions for post-stroke motor recovery. Kim’s achievements underscore a career dedicated to translating robotic technology into practical, patient-centered therapies, making him a notable figure in the growing field of rehabilitation robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Study of Human Grasping Ability and its Application to a Robot Hand2 citations · 1991