Cheng‐Wei Lin

National Chung Cheng University, National Taiwan University

Papers

Total Citations

H-Index

About

Cheng-Wei Lin is a researcher whose work bridges the frontiers of human-robot interaction and 3D computer vision. In human-robot interaction, Lin is known for pioneering the use of humanoid robots in music therapy for autistic children. His 2014 study demonstrated how robotic mimicry and musical engagement can significantly improve concentration and social attention in children with autism, a contribution that has garnered 15 citations and laid groundwork for socially assistive robotics. More recently, Lin has made a substantial impact in 3D vision, particularly with his 2023 work on "Coarse-to-Fine Point Cloud Registration with SE(3)-Equivariant Representations." This paper, earning 13 citations, addresses a fundamental challenge in robotics and computer vision: aligning point clouds under large pose differences and partial overlaps. By introducing SE(3)-equivariant representations, Lin’s method achieves robust registration without relying on fragile local features or inconsistent global shapes. This dual expertise—applying robotics to therapeutic contexts and advancing geometric deep learning—showcases Lin’s ability to drive both compassionate application and algorithmic innovation, making his work relevant to students and researchers in assistive technology, robotics, and 3D perception.