Max Robotics — Global Service Robot Directory + US Certification

About

Dr. Peerayot Sanposh is a control systems and robotics researcher whose work bridges autonomous marine vehicles and advanced robotic manipulation. He is best known for his comprehensive survey on autonomous sailboats (2023, 39 citations), which established a foundational taxonomy of control strategies for wind-propelled unmanned surface vehicles—a critical contribution as marine robotics expands into environmental monitoring and ocean exploration. His research focuses on developing robust, adaptive control algorithms that handle real-world uncertainties. In robotic manipulators, Dr. Sanposh pioneered the use of Desired Compensation Learning Law with B-spline shape functions (2011), creating a computationally efficient adaptive repetitive controller that requires minimal memory. He further advanced the field by integrating H∞ robust control with Linear Matrix Inequality (LMI) pole placement techniques (2019), enabling precise trajectory tracking for nonlinear robotic systems despite parametric uncertainties. His work is particularly notable for addressing the practical challenges of implementing sophisticated control theory in resource-constrained embedded systems. Dr. Sanposh’s research has direct applications in autonomous navigation, industrial automation, and marine robotics, making him a key figure in the development of intelligent, self-correcting robotic systems.