Weihang Chen
Papers
2
Total Citations
9
H-Index
2
About
Weihang Chen’s research lies at the intersection of robotics, computer vision, and interactive perception, with a central focus on enabling robots to precisely manipulate articulated objects—such as cabinets, drawers, and doors—in unstructured real-world environments. Chen’s most notable contribution is the **Sim2Real²** framework, a novel approach that actively builds an explicit physics model of an unseen articulated object from simulation and transfers that knowledge directly to real-world manipulation. This work addresses a critical gap in robotics: achieving high-precision control without requiring human demonstration or extensive real-world data. By leveraging simulation to infer kinematic and dynamic properties, Chen’s method allows a robot to manipulate an object to a desired state with remarkable accuracy. Although early in its citation trajectory (with 7 and 2 citations for two versions of the paper), the work has already been recognized for its practical impact on dexterous manipulation. Chen’s research is particularly valuable for students and researchers interested in sim-to-real transfer, interactive perception, and autonomous robotic assembly—areas where bridging the gap between simulated models and physical reality remains a grand challenge.
Research Focus
Key Achievements
Top Papers
- 1
- 2