Tran Quoc Khai

About

Tran Quoc Khai is a researcher specializing in mobile robotics, intelligent control systems, and autonomous navigation. His work focuses on developing advanced kinematic controllers for differential-drive mobile robots, with a particular emphasis on integrating soft computing techniques — including fuzzy inference systems and neural networks — to achieve precise trajectory tracking in dynamic environments. Among his most notable contributions is his 2020 study on fuzzy inference system-based parameter tuning for kinematic controllers, which has garnered 37 citations and demonstrated how fuzzy logic can significantly enhance the adaptability and robustness of mobile robot navigation. Complementing this, his 2019 work introduced an adaptive kinematic controller leveraging Radial Basis Function Neural Networks, accumulating 15 citations and highlighting the potential of machine learning-inspired approaches to handle nonlinear uncertainties inherent in robot motion control. Together, these contributions reflect Khai's commitment to bridging classical control theory with modern intelligent computing paradigms. His research has attracted meaningful academic attention within the robotics community and provides practical frameworks that can inform the development of more reliable and autonomous robotic systems for real-world applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Design of Kinematic Controller Based on Parameter Tuning by Fuzzy Inference System for Trajectory Tracking of Differential-Drive Mobile Robot

   37 citations · 2020
2. 2
   Design of Adaptive Kinematic Controller Using Radial Basis Function Neural Network for Trajectory Tracking Control of Differential-Drive Mobile Robot

   15 citations · 2019

Key Collaborators

Contact & Links