Tang Sai Hong
Papers
14
Total Citations
301
H-Index
9
About
Tang Sai Hong is a leading researcher in autonomous mobile robotics, with a primary focus on navigation, path planning, and control systems for robots operating in unknown and dynamic environments. His most influential work includes the development of a minimum avoidance system for behavior-based mobile robots (89 citations) and a comprehensive textbook on robotic welding technology (50 citations). Dr. Hong has pioneered novel hybrid control architectures that combine deliberative and reactive approaches, enabling robots to navigate safely through unpredictable surroundings. His innovative contributions extend to sampling-based path planning enhanced by Tabu search and adaptive neuro-fuzzy inference systems (ANFIS), which have been widely cited for their efficiency in online motion planning. Notably, his recent work on an improved Grey Wolf Optimizer (GWO) for multi-robot task allocation in vertical farms addresses the global challenge of food security and sustainable agriculture. With a consistent record of high-impact publications, Dr. Hong’s research continues to shape the future of intelligent robotic systems, from assistive mobile robots to agricultural automation.
Research Focus
Key Achievements
Top Papers
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- 2Robotic Welding Technology50 citations · 2014
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- 4Sampling-Based Tabu Search Approach for Online Path Planning26 citations · 2012
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