Kanghyun Kim

Pohang University of Science and Technology, Sogang University, Daejeon University

Papers

Total Citations

132

H-Index

About

Kanghyun Kim is a leading researcher at the intersection of neural engineering and robotics, whose work spans brain‒machine interfaces (BMI), exoskeleton design, and robot task planning. His most impactful contribution, "Recent Progress on Microelectrodes in Neural Interfaces" (2018), has garnered 120 citations and provides a comprehensive review of how neural electrodes, wireless communication, and signal analysis are converging to advance artificial limbs and novel input devices. In the domain of wearable robotics, Kim’s 2018 paper on optimizing semi-active pneumatic actuators for running exoskeletons introduces spring-like mechanisms inspired by the SLIP model, enabling more natural and efficient assistance during human locomotion. More recently, his 2023 work on a reachability tree-based algorithm for task and motion planning (TAMP) offers a novel, tree-driven approach that bridges abstract task planning with geometric motion constraints—a significant step toward more autonomous and adaptable robots. Kim’s research is characterized by its interdisciplinary reach, from neural interfaces that restore function to exoskeletons that augment human performance, and his growing citation impact reflects the relevance of his contributions to both foundational science and applied robotics.