Papers
6
Total Citations
37
H-Index
4
About
Siyuan Lin is a multidisciplinary researcher whose work bridges robotics, human–robot interaction, and intelligent systems. His research primarily focuses on on-body companion robots, continuum robot kinematics, and robotic systems for garment e-commerce. Lin made a significant early contribution with his 2019 survey on users’ expectations toward on-body companion robots (14 citations), which remains a foundational reference for designers exploring this emerging application. He also developed a remote fitting system for garment e-commerce, featuring a flexible humanoid robot that simulates consumers’ body shapes—a novel approach that earned 6 citations. In continuum robotics, Lin advanced the piecewise constant curvature model using Lie theory (2023, 6 citations), improving computational efficiency for forward and inverse kinematics. His work on panel-based fitting robots (2018, 5 citations) further demonstrates his ability to combine structural design with practical applications. More recently, Lin has ventured into computational biology, co-authoring a 2025 study on accelerating primer design for amplicon sequencing using large language model-powered agents. With a career spanning robotics, human–robot interaction, and AI-driven bioinformatics, Lin exemplifies a versatile engineer whose contributions continue to shape both physical and digital systems.
Research Focus
Key Achievements
Top Papers
- 1A Survey of Users' Expectations Towards On-body Companion Robots14 citations · 2019
- 2The design of a remote fitting system for garment e-commerce6 citations · 2018
- 3
- 4Structural design and optimization of a panel-based fitting robot5 citations · 2018
- 5
- 6