Cheng-Leong Ng
Papers
3
Total Citations
15
H-Index
3
About
Cheng-Leong Ng is a researcher specializing in multi-robot systems and autonomous navigation in dynamic environments. His work focuses on two core challenges: enabling robots to safely avoid moving obstacles and maintaining reliable leader-following coordination when visual tracking is temporarily lost. Ng’s most influential contribution is the Dynamic Window Approach with Collision Suppression Cone (DWA-CSC), which introduces a novel geometric method for predicting and suppressing collisions with moving obstacles in partially known spaces. This work has garnered 6 citations and addresses a critical gap in real-time robot motion planning. In multi-robot systems, Ng pioneered probabilistic trajectory estimation techniques that allow follower robots to accurately predict a leader’s path even during vision dropouts caused by occlusion, lighting changes, or motion blur. His leader-following papers (2016, 2017) have accumulated 9 citations combined, demonstrating their relevance to robust multi-robot coordination. Ng’s research is particularly valuable for applications in warehouse logistics, search-and-rescue, and autonomous convoy operations, where reliable robot teamwork and obstacle avoidance are essential. His work bridges probabilistic estimation and control theory to create practical, resilient robotic systems.
Research Focus
Key Achievements
Top Papers
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