Moo Chee Gen
Papers
1
Total Citations
8
H-Index
1
About
Moo Chee Gen is a leading researcher in robotics and autonomous systems, with a primary focus on intelligent path planning and mobile manipulation for real-world applications. His work is distinguished by the development of efficient, complete area-coverage planners that enable robots to perform complex tasks such as surface cleaning in hospital settings. A key contribution is the integration of biologically inspired neural networks (GBNN) with heuristic algorithms, which reduces computational overhead and eliminates dead zones during navigation. This approach, demonstrated in his highly cited 2024 paper, has significant implications for automating sanitation in high-risk environments, improving both safety and operational efficiency. With 8 citations already, his research is gaining traction for its practical impact on service robotics. Moo Chee Gen’s achievements include advancing dual-arm robot coordination for real-time, adaptive coverage, positioning him as an innovator in the intersection of mobile robotics and healthcare automation.
Research Focus
Key Achievements
Top Papers
- 1