Weilin Guan
Papers
1
Total Citations
2
H-Index
1
About
Weilin Guan is a researcher whose work lies at the intersection of robotics, smart materials, and advanced manufacturing, with a particular focus on self-folding structures and laser-based fabrication. Their key contributions center on developing computational methods to plan and control the folding motion of materials using thermal simulation, enabling the creation of robots and structures that can autonomously transform from flat sheets into complex three-dimensional shapes. Guan’s research addresses critical challenges in self-folding robotics, such as avoiding geometric self-collisions and preventing undesired deformations during the folding process. By integrating thermal dynamics with kinematic planning, their work provides a foundation for more reliable and precise fabrication of deployable devices. While their most-cited paper, “Planning Laser-Forming Folding Motion with Thermal Simulation” (2021), has garnered 2 citations—a modest figure reflecting the early stage of this emerging field—it represents a significant step toward practical self-assembling systems. Guan’s contributions are particularly valuable for students and researchers interested in the design of adaptive structures, soft robotics, and the use of heat-activated materials for autonomous shape change.
Research Focus
Key Achievements
Top Papers
- 1Planning Laser-Forming Folding Motion with Thermal Simulation2 citations · 2021