Minh Duc Pham
Papers
1
Total Citations
2
H-Index
1
About
Minh Duc Pham is a leading researcher in the field of underactuated robotics, with a primary focus on the control and autonomous navigation of ball-balancing robots (ballbots). His work addresses critical challenges in safe robot operation within complex, dynamic environments. Pham’s major contribution lies in the development of advanced model predictive control (MPC) frameworks integrated with control barrier functions (CBFs). This innovative approach enables ballbots to navigate while simultaneously avoiding both static and dynamic obstacles, all while respecting critical physical constraints such as tilt angle limitations. His most-cited paper, "CBFs-Based Model Predictive Control for Obstacle Avoidance With Tilt Angle Limitation for Ball-Balancing Robots" (2025), has already garnered 2 citations, signaling its early impact on the robotics community. By solving the dual problem of maintaining stability and ensuring collision-free paths for these inherently unstable systems, Pham’s research lays essential groundwork for deploying ballbots in real-world applications like service robotics and autonomous logistics. His work is highly relevant for students and researchers interested in nonlinear control, safety-critical systems, and the practical implementation of underactuated robots.
Research Focus
Key Achievements
Top Papers
- 1