Papers
10
Total Citations
109
H-Index
7
About
Chun Kit Ang is a robotics and intelligent systems researcher whose work spans robot motion planning, autonomous navigation, soft robotics, and advanced manufacturing. Best known for his pioneering applications of artificial neural networks to robotics, Ang has made significant contributions to simplifying the complex mathematical challenges inherent in robot manipulator control. His 2014 paper on predicting robot manipulator motion using neural networks, which garnered 26 citations, demonstrated that ANN-based approaches could effectively bypass the computational burden of traditional kinematics and dynamics calculations — even when joint trajectory characteristics are unknown. Complementing this, his work on reactive collision avoidance for mobile robots in dynamic environments (18 citations) introduced a novel "divide and conquer" strategy that remains relevant to autonomous navigation research. Ang's research breadth is notable: he has explored bio-inspired soft robotics through a pneumatically actuated salamander robot, multi-modal quadcopter-quadruped systems, pipeline inspection robots, and, more recently, friction stir spot welding innovations for lightweight aerospace and automotive structures. His 2020 work on adaptive polynomial trajectory planning further reflects his sustained commitment to intelligent robot control. With over 90 cumulative citations across a diverse portfolio, Ang represents a versatile researcher bridging classical robotics theory with emerging intelligent and bio-inspired engineering paradigms.
Research Focus
Key Achievements
Top Papers
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- 8An Alternative Approach In Sensing Simultaneous 3-DOF Motions4 citations · 2006
- 9Development of a Laboratory-Scale Pipeline Crack Inspection Robot2 citations · 2021
- 10Development of Autonomous Table Tennis Ball Retrieving Robot2 citations · 2023