Choon‐Hian Goh

Papers

Total Citations

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About

Choon-Hian Goh is a robotics researcher whose work centers on multi-robot systems, path planning optimization, and low-cost robotic hardware design. His most impactful contribution is the development of an Enhanced Particle Swarm Optimisation (EPSO) algorithm for multi-robot path planning, which integrates cubic Bézier curve smoothing to produce smoother, more efficient trajectories than traditional PSO methods—a paper that has already garnered 13 citations since its 2024 publication. Goh also demonstrates a strong commitment to accessible robotics through his design of a 3D-printed differential drive robot equipped with LiDAR and 3D depth sensing, achieving a low-cost, easily replicable platform ideal for education and research. This work, though newer with 2 citations, highlights his ability to bridge algorithmic innovation with practical, open-hardware design. By combining advanced optimization techniques with tangible, affordable robotic systems, Goh is making significant strides in both theoretical and applied robotics, offering valuable tools and methods for researchers and students alike.