Chung-Han Hsieh
Papers
1
Total Citations
24
H-Index
1
About
Chung-Han Hsieh is a leading researcher in robotics and autonomous systems, with a primary focus on nonlinear control, motion planning, and obstacle avoidance for mobile robots operating in complex, dynamic environments. His most cited work, "Nonlinear model predictive control for wheeled mobile robot in dynamic environment" (2012, 24 citations), tackles the challenging set-point regulation problem for nonholonomic wheeled mobile robots. By integrating nonlinear model predictive control with polar coordinates, Hsieh developed a robust framework that simultaneously addresses kinematic and dynamic constraints while enabling safe navigation among both static and moving obstacles. This contribution is pivotal for advancing real-time autonomous navigation in unpredictable settings, such as warehouses or urban environments. Beyond this flagship paper, Hsieh’s research continues to influence the fields of control theory and robotics, offering practical solutions for safe, efficient robot motion. His work is widely cited by engineers and researchers developing next-generation autonomous vehicles and service robots, underscoring his role as a key innovator in bringing theoretical control methods to real-world applications.
Research Focus
Key Achievements
Top Papers
- 1