Max Robotics — Global Service Robot Directory + US Certification

About

Duyen Ha Thi Kim is a robotics researcher whose work centers on the autonomous navigation and adaptive control of omnidirectional mobile robots. Her primary research areas include deep reinforcement learning, neural network-based control systems, and the Robot Operating System (ROS) for mapping and localization. Dr. Kim’s most significant contributions lie in developing intelligent control strategies that enable four-wheeled omnidirectional robots to navigate complex environments with precision and stability. Her 2020 paper on autonomous navigation using deep reinforcement learning has garnered 22 citations, while her 2021 work on adaptive control with Radial Basis Function Neural Networks has received 20 citations, reflecting the growing interest in her approaches. Notably, her 2019 study on ROS-based mapping and navigation provides a practical framework for Simultaneous Localization and Mapping (SLAM) in self-driving robots, establishing a foundation for real-world deployment. Her 2019 trajectory tracking control paper introduces a direct Adaptive Neural Network Dynamic Surface Controller, with system stability proven via Lyapunov standards. Through these works, Dr. Kim has advanced the field of mobile robotics by bridging theoretical control methods with applied autonomous systems, making her research essential reading for students and engineers working on intelligent, holonomic robot platforms.