Papers
22
Total Citations
164
H-Index
8
About
Kil To Chong is a leading researcher in autonomous mobile robotics, with a primary focus on navigation, path planning, and control systems for wheeled and aerial robots. His major contributions include pioneering receding horizon tracking control for wheeled mobile robots with time-delay, which has garnered 24 citations, and developing an adaptive network fuzzy inference system (ANFIS) for autonomous navigation in cluttered environments, cited 21 times. Chong has also advanced real-time visual sensor architectures using FPGA-based systems for robot localization, and designed fuzzy-PI controllers for quadrotor UAVs, enhancing their stability and agility. His work on harmonic potential fields for obstacle avoidance and successive loop closure controllers for quadrotors further underscores his impact, with his top ten papers collectively cited over 120 times. Notably, his research integrates fuzzy logic, model predictive control, and neural networks to solve complex navigation challenges, making him a key figure in robotics. Chong’s achievements include advancing multi-rotor dynamic modeling and control techniques, which have practical applications in surveillance and urban environments.
Research Focus
Key Achievements
Top Papers
- 1Receding horizon tracking control for wheeled mobile robots with time-delay24 citations · 2008
- 2
- 3Model algorithm control for path tracking of wheeled mobile robots12 citations · 2010
- 4
- 5Design of Lateral Fuzzy-PI Controller for Unmanned Quadrotor Robot11 citations · 2013
- 6Autonomous Mobile Robot Navigation Using Harmonic Potential Field10 citations · 2015
- 7
- 8Dynamic Modeling and Control Techniques for Multi-Rotor Flying Robots8 citations · 2014
- 9An GPS/DR navigation system using neural network for mobile robot7 citations · 2014
- 10