Jin-Geol Kim
Papers
11
Total Citations
117
H-Index
7
About
Jin-Geol Kim is a robotics researcher whose work has significantly advanced the field of humanoid and biped locomotion control. His research centers on walking trajectory generation, dynamic stability, and intelligent control algorithms for legged robotic systems — areas where precise motion planning and real-time adaptability are critical challenges. Kim's most influential contribution, "Optimal walking trajectory generation for a biped robot using genetic algorithm" (2003, 25 citations), demonstrated how evolutionary computation could resolve the complex via-point optimization problem inherent in smooth biped locomotion. Complementing this, his 2005 work on inverted pendulum-based ZMP stability control (21 citations) tackled the fundamental nonlinearities in biped balance, offering a practical formulation still referenced in the field. His exploration of fuzzy logic for real-time humanoid walking control (15 citations) further broadened his methodological toolkit, while his backlash compensation research (13 citations) addressed often-overlooked hardware nonlinearities in geared motor systems. Across his career, Kim has consistently bridged theoretical control design with practical implementation challenges, including distributed CAN-based communication architectures for humanoid systems. With cumulative citations exceeding 110 across his key publications, his body of work represents a meaningful contribution to the foundational engineering of stable, intelligent bipedal robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2Stability experiment of a biped walking robot with inverted pendulum21 citations · 2005
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- 4Backlash compensation for a humanoid robot using disturbance observer13 citations · 2005
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- 8Messages scheduling for a humanoid robot in the CAN7 citations · 2005
- 9
- 10Adaptive gait algorithm for IWR biped robot4 citations · 2002