Papers
2
Total Citations
26
H-Index
2
About
Huu Khoa Tran is a pioneering researcher in nonlinear control systems for aerial and legged robotics, whose work bridges theoretical rigor with practical implementation. His most impactful contribution lies in the attitude control of single tilt tri-rotor UAV systems, where he developed dynamic models using Newton-Euler’s laws and designed nonlinear controllers for each channel. This foundational 2013 paper, with 23 citations, introduced a numerical Newton-Raphson method to solve for hovering equilibrium points—a critical step for stabilizing unconventional rotorcraft. Tran’s expertise extends to bipedal locomotion, where he explored gait control using exact limit cycle trajectories and backstepping methods. His 2010 study on passive dynamic walking demonstrated how gravity-driven kinetic energy in downhill gaits can minimize control effort, revealing patterns in irregular trajectories that inform energy-efficient robotic motion. Though his citation counts reflect a focused, emerging impact, Tran’s work is notable for its dual emphasis on mathematical modeling and real-world control challenges. His tri-rotor research, in particular, addresses a niche yet vital area in UAV design, offering solutions for vehicles with reduced actuator complexity. For students and researchers in robotics and control theory, Tran’s contributions exemplify how nonlinear techniques can unlock stable, efficient performance in complex dynamical systems.
Research Focus
Key Achievements
Top Papers
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