Howe Hing Tang

Papers

Total Citations

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About

Howe Hing Tang is a robotics and autonomous systems researcher whose work focuses on mobile robot navigation, sensor fusion, and intelligent path planning. His research addresses the practical challenges of deploying autonomous robots in real-world road environments, with a particular emphasis on developing robust navigation frameworks capable of handling complex scenarios such as road roundabouts. Among his notable contributions is a novel algorithm integrating virtual laser range finder (LRF) data with vision systems to enable reliable open-space detection and path planning in roundabout settings, demonstrating a sophisticated approach to one of autonomous navigation's more demanding challenges. Complementing this, his work on mechatronic development of autonomous mobile robot platforms showcases his ability to bridge theoretical algorithms with physical hardware implementation, employing camera, LRF, and odometry sensor fusion to achieve collision-free navigation in on-road environments. While Tang's citation counts remain modest — with his most recognized works accumulating 3 and 2 citations respectively — his research represents meaningful foundational contributions to the field of autonomous ground vehicle navigation. His interdisciplinary approach, combining embedded control systems with advanced sensing technologies, offers valuable insights for students and researchers working at the intersection of robotics, mechatronics, and intelligent transportation systems.