Max Robotics — Global Service Robot Directory + US Certification

About

Jaehyo Kim is a leading researcher at the intersection of rehabilitation robotics, human-robot interaction, and bio-signal processing. His most impactful work addresses critical challenges in assistive and therapeutic robotics, particularly for stroke rehabilitation. Kim pioneered continuous position control of manipulators using EMG signals (20 citations), solving the problem of discontinuous bio-signal interfaces that degrade user performance. He developed a wearable soft robot for finger occupational therapy that provides quantitative measures of joint paralysis (15 citations), enabling more precise assessment of stroke patients' recovery. His innovative approach combines robot-assisted rehabilitation with mirror therapy for hemiparesis (7 citations), where robots are applied to both paralyzed and unaffected limbs to induce symmetric movement patterns. Kim has also investigated visuomotor control differences between dominant and non-dominant hands for effective human-robot collaboration (5 citations), and created machine learning methods to quantitatively evaluate wrist paralysis through kinematic coefficients (5 citations). His work bridges engineering and clinical practice, developing technologies that not only assist patients but also provide objective metrics for therapists. Kim's research demonstrates a commitment to creating intelligent, adaptive robotic systems that enhance rehabilitation outcomes while advancing fundamental understanding of human motor control.