Yixuan Guan

Tsinghua University

Papers

2

Total Citations

4

H-Index

2

About

Yixuan Guan is a rising researcher in robotic manipulation, with key contributions at the intersection of dexterous manipulation, tactile sensing, and articulated object interaction. Guan’s work focuses on enabling robots to interact with complex, real-world objects through two major innovations. In their highly cited paper “DexSim2Real²,” Guan introduced a framework that builds an explicit world model for precise dexterous manipulation of articulated objects—such as cabinets and drawers—bridging the simulation-to-reality gap. This work has already garnered attention for its potential to make robots more capable in everyday environments. Complementing this, Guan developed “AllTact Fin Ray,” a compliant robot gripper with omni-directional tactile sensing, which provides rich, local contact information critical for robust grasping. This design advances the field by integrating compliance and sensing in a single, practical finger structure. With both papers published in 2025 and already accumulating citations, Guan is establishing a reputation for creating integrated systems that combine perception, control, and hardware design. Their research promises to push the boundaries of what robots can achieve in unstructured, human-centric spaces.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
DexSim2Real$^{\mathbf{2}}$: Building Explicit World Model for Precise Articulated Object Dexterous Manipulation
2 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Tsinghua University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago