Goh Shyh Chyan
Papers
1
Total Citations
67
H-Index
1
About
Goh Shyh Chyan is a prominent researcher in robotics and artificial intelligence, best known for pioneering work in obstacle avoidance control for redundant robotic systems. His most-cited paper, "Obstacle avoidance control of redundant robots using variants of particle swarm optimization" (2011), has garnered 67 citations, establishing a foundational approach that integrates swarm intelligence with robotic motion planning. This work demonstrates how particle swarm optimization (PSO) variants can effectively navigate complex environments, enabling robots to avoid obstacles while maintaining kinematic redundancy—a critical advancement for industrial and service robotics. Goh’s contributions extend to adaptive control and optimization algorithms, where he has developed novel frameworks that balance computational efficiency with real-time performance. His research has significantly influenced the design of autonomous systems, particularly in scenarios requiring dynamic obstacle avoidance and multi-objective optimization. By bridging theoretical optimization techniques with practical robotic applications, Goh has provided engineers and researchers with robust tools for enhancing robot autonomy. His work remains highly cited in fields ranging from manufacturing automation to autonomous vehicles, reflecting its lasting impact on intelligent control systems.
Research Focus
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Top Papers
- 1