Wooi Boon Goh
Papers
1
Total Citations
6
H-Index
1
About
Wooi Boon Goh is a researcher whose work lies at the intersection of robotics, artificial intelligence, and spatial computing. His key contributions center on developing intelligent path planning algorithms for multi-robot systems, most notably through his work on Spatio-Temporal A* algorithms. His 2011 paper on offline collision-free path planning for multiple mobile robots introduced a novel decoupled approach using a 2D spatial-time map, where a centralized planner sequentially computes optimal, conflict-free paths. This foundational work has garnered 6 citations and remains relevant for researchers tackling the complex challenge of coordinating autonomous agents in shared environments. Goh’s research addresses critical problems in robotics, from warehouse automation to autonomous vehicle coordination, by optimizing both spatial and temporal dimensions of movement. His contributions demonstrate a deep understanding of algorithmic efficiency and real-world applicability, making his work a valuable reference for students and researchers exploring multi-agent path planning. Through his innovative use of A* search in spatio-temporal contexts, Wooi Boon Goh has helped advance the practical deployment of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1