Papers
5
Total Citations
89
H-Index
4
About
Kok Weng Ng is a researcher whose work bridges the gap between computational intelligence, robotics, and human-robot interaction. His key research areas include the Theory of Inventive Problem Solving (TRIZ), multi-threading frameworks for real-time systems, and bio-inspired optimization algorithms. Ng’s major contributions are highlighted by his comprehensive review on the TRIZ trend of engineering system evolution (TESE), which has garnered 43 citations and explores its applications, benefits, and integration with computer-aided tools—a foundational resource for engineers and innovators. He also advanced robotics through his work on minimum-time motion planning using the Bees Algorithm (15 citations), demonstrating how swarm intelligence can optimize robot arm trajectories. In the realm of human-robot interaction, Ng has pioneered personalized emotion analysis with a fuzzy multi-modal transformer model and developed an emotional state transition model using genetic hybridization technology, both published in 2024. His investigation of the Threading Building Blocks framework for real-time visual object tracking (22 citations) showcases his versatility in applying parallel computing to computer vision. With a growing citation impact, Ng’s work is shaping the future of intelligent systems and emotionally aware robotics.
Research Focus
Key Achievements
Top Papers
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- 3Minimum-time motion planning for a robot arm using the Bees Algorithm15 citations · 2009
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