Hyo‐Geon Jang
Papers
2
Total Citations
14
H-Index
2
About
Hyo-Geon Jang is a rising researcher in the field of robotics and nonlinear control systems, with a primary focus on the complex dynamics of underactuated robots. His work centers on solving the dual challenges of trajectory tracking and balancing for ball-balancing robots—systems characterized by underactuation, nonlinear couplings, and parametric uncertainty. Jang’s major contributions include the development of a neural-network-based control strategy that effectively handles these uncertainties, enabling precise motion while maintaining stability. He has also pioneered a virtual angle-based adaptive control method that eliminates the need for velocity measurements, a significant practical advancement that reduces sensor dependency and cost. Although his most-cited papers have garnered 10 and 4 citations respectively, their impact is notable for introducing novel control frameworks that address fundamental limitations in real-world robotic applications. Jang’s research is particularly relevant for engineers and students working on mobile robots, autonomous systems, and adaptive control, offering elegant solutions to persistent problems in nonlinear dynamics and underactuated system stabilization.
Research Focus
Key Achievements
Top Papers
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- 2