Jiaojiao Meng
Papers
2
Total Citations
9
H-Index
2
About
Jiaojiao Meng is a robotics researcher whose work focuses on bridging the simulation-to-reality gap for precise robotic manipulation. Her primary research area lies in articulated object manipulation—a challenging domain where robots must interact with objects that have moving parts, such as cabinets, doors, or drawers. Her most notable contribution is the **Sim2Real² framework**, which actively builds an explicit physics model to enable robots to manipulate unseen articulated objects to a desired state in the real world, without any human demonstration. This work, published in 2023, has already garnered attention (7 citations in its primary version) for its novel approach to combining active model-building with real-world deployment. By explicitly modeling the physics of articulated objects, Meng’s framework allows robots to generalize from simulation to real-world scenarios with high precision—a critical step toward practical, autonomous robots in homes and factories. Her research addresses a key bottleneck in robotics: the ability to handle the variability and complexity of real-world objects. For students and researchers interested in robot learning, manipulation, and sim-to-real transfer, Meng’s work offers a compelling example of how explicit physics models can enhance robotic dexterity and autonomy.
Research Focus
Key Achievements
Top Papers
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- 2