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About

Mingon Kim is a robotics researcher whose work focuses on humanoid robot control, compliant actuation, and human-robot interaction. His most significant contributions come from his leadership role in Team SNU at the 2015 DARPA Robotics Challenge (DRC) Finals, where his team’s innovative system architecture and controllers for the THORMANG humanoid platform earned international recognition. This work, cited over 28 times, demonstrated practical strategies for disaster-response robotics. Kim has also advanced the field through research on grasping force estimation using sEMG signals and tensor decomposition (25 citations), and robot hand synergy mapping with EMG signals (14 citations). His development of the JET humanoid robot with compliant modular actuators (12 citations) targets industrial and service applications, while his work on online walking pattern generation and actuator elasticity compensation (8 citations each) addresses fundamental challenges in stable, compliant locomotion. Kim’s research on human motion imitation via recurrent neural networks (5 citations) and disturbance-adapting walking patterns (4 citations) further showcases his commitment to making humanoid robots more responsive and versatile. His work bridges theoretical control methods with practical robotic platforms, making him a notable figure in humanoid robotics.