Yiwen Hou
Papers
1
Total Citations
1
H-Index
1
About
Yiwen Hou is a rising researcher in robotic manipulation, with a primary focus on deformable object handling and intelligent automation. Hou’s most notable contribution is the development of MetaFold, a pioneering framework that addresses the long-standing challenge of multi-category garment folding. By integrating language-guided trajectory generation with foundation models, MetaFold disentangles high-level task planning from low-level control, enabling robots to handle the vast state space and complex dynamics of deformable fabrics with unprecedented precision. This work, published in 2025, has already garnered attention for its unified approach to a problem that has stymied the field for years. Hou’s research sits at the intersection of computer vision, natural language processing, and robotics, demonstrating how multimodal AI can bridge the gap between abstract human instructions and concrete physical actions. While still early in their career, Hou’s innovative framework signals a significant step toward practical, general-purpose robotic systems capable of performing delicate household tasks, with potential applications ranging from assistive robotics to industrial automation.
Research Focus
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Top Papers
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