Yew Cheong Hou
Papers
9
Total Citations
106
H-Index
4
About
Yew Cheong Hou is a robotics researcher whose work sits at the intersection of autonomous navigation, deformable object manipulation, and radiation safety. His most impactful contribution is a coverage path planning approach for autonomous radiation mapping with mobile robots (30 citations), addressing critical safety needs in nuclear industries by enabling robots to visualize radiation distribution while keeping human workers below permissible dose limits. Hou has also made significant strides in the challenging field of deformable object manipulation, authoring a comprehensive review on modeling flexible deformable objects for dexterous robotic manipulation (29 citations) that synthesizes advances across computer graphics, vision, and robotics. His collision avoidance system for multiple autonomous mobile robots (27 citations) adapts automotive safety principles for multi-robot coordination. Throughout his career, Hou has focused on enabling home service robots to handle garments—from identifying corners of clothes using image processing to particle-based perception for folding tasks. His work on 3D elastic deformable object models and self-generated datasets for category and pose estimation demonstrates sustained commitment to solving the fundamental perception and modeling challenges that prevent robots from reliably handling soft, deformable materials in real-world environments.
Research Focus
Key Achievements
Top Papers
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- 5Identifying corners of clothes using image processing method3 citations · 2010
- 63D Elastic Deformable Object Model for Robot Manipulation Purposes3 citations · 2014
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- 8Dynamic modeling of string for robotics application2 citations · 2012
- 9Modeling of flexible deformable object for robotic manipulation1 citations · 2016