Haotian Zhao
Papers
1
Total Citations
19
H-Index
1
About
Haotian Zhao is a leading researcher in intelligent robotics and control systems, with a primary focus on the dynamic balance and motion planning of unmanned bicycle robots. His work addresses critical challenges in nonlinear system control by integrating fuzzy logic, multi-objective optimization, and swarm intelligence. Zhao’s most cited paper, “Fuzzy model‐based multi‐objective dynamic programming with modified particle swarm optimization approach for the balance control of bicycle robot” (2021), introduces a novel framework that enables stable balance control under time-varying forward velocities using only a steering actuator—a significant departure from prior work limited to constant speeds and single-objective optimization. This contribution has garnered 19 citations, reflecting its impact on advancing autonomous two-wheeled vehicle control. Zhao’s research is notable for bridging theoretical optimization with practical robotic applications, offering scalable solutions for complex motion scenarios. His work is essential reading for students and engineers interested in intelligent control, robotics, and the intersection of fuzzy systems with evolutionary computation.
Research Focus
Key Achievements
Top Papers
- 1