Max Robotics — Global Service Robot Directory + US Certification

About

Minh-Khoi Pham is a rising researcher in robotics and control systems, with a focused expertise in the stabilization and trajectory tracking of two-wheeled balancing mobile robots (2WBMRs)—a class of inherently unstable systems that demand sophisticated control strategies. His major contributions lie in advancing hierarchical sliding mode control (HSMC), a method he has optimized using bio-inspired algorithms like the Firefly Algorithm to enhance robot stability and performance. Pham’s work integrates sliding mode control with interval Type-2 Fuzzy Logic and Model Predictive Path Following (MPPF) constraints, pushing the boundaries of robust control for self-balancing platforms. His most cited paper, “Trajectory tracking and stabilization of two-wheeled balancing mobile robot with hierarchical and sliding mode control” (2024, 11 citations), along with subsequent studies (8 and 3 citations), demonstrates a steady trajectory of impact in a niche but critical area of mobile robotics. By addressing the fundamental challenge of balancing and tracking in 2WBMRs, Pham’s research offers practical solutions for applications in autonomous transport and service robotics, marking him as a promising contributor to the field of nonlinear control and mechatronics.