Sudeok Kim
Papers
1
Total Citations
26
H-Index
1
About
Sudeok Kim is a leading researcher in wearable robotics and human–machine interaction, with a primary focus on developing intuitive, reliable control systems for assistive devices. His most cited work, "Single EMG Sensor-Driven Robotic Glove Control for Reliable Augmentation of Power Grasping" (2020, 26 citations), addresses a critical bottleneck in myoelectric interfaces: the trade-off between compactness and performance. By demonstrating that a single surface EMG sensor can robustly control a robotic glove for power grasping, Kim introduced a streamlined approach that reduces sensor complexity while maintaining operational reliability—a significant step toward practical, everyday use of wearable robots. This contribution has influenced the design of more accessible assistive technologies for individuals with hand impairments. Kim’s research bridges signal processing, biomechanics, and mechatronics, emphasizing real-world applicability. His work is widely cited in the fields of rehabilitation robotics and prosthetic control, underscoring its impact on both academic research and clinical device development. Through his innovations, Kim continues to advance the goal of seamless, user-friendly human–robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1