Joel Chan Cheng Hoong
Papers
2
Total Citations
37
H-Index
2
About
Dr. Joel Chan Cheng Hoong is a leading researcher in autonomous robotics, specializing in reconfigurable systems for urban maintenance. His work focuses on developing intelligent navigation and path planning algorithms for self-reconfigurable pavement sweeping robots, addressing the unique challenges of unstructured outdoor environments. Dr. Chan’s major contributions include a groundbreaking heat conduction combined grid-based optimization method for robot path planning, which has garnered 27 citations for its innovative approach to efficient and adaptive cleaning routes. He further advanced the field with his multi-objective instantaneous center of rotation optimization technique, which leverages sensor feedback to enable collision-free navigation in constrained spaces with sharp corners and pedestrian activity, earning 10 citations. His research directly tackles real-world problems, enhancing the autonomy and safety of cleaning robots in complex settings. Dr. Chan’s work is notable for its practical impact on smart city infrastructure and its integration of optimization theory with sensor-driven control, making him a key figure in the evolution of reconfigurable robotics for public service applications.
Research Focus
Key Achievements
Top Papers
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