Hanxiao Jiang
Papers
3
Total Citations
400
H-Index
3
About
Hanxiao Jiang is a leading researcher at the intersection of computer vision, robotics, and embodied AI, with a primary focus on building intelligent home assistant robots. His most impactful contribution is the creation of **SAPIEN**, a simulated part-based interactive environment that has garnered over 373 citations. This platform provides physically realistic simulation and a rich set of articulated objects, enabling researchers to train and transfer manipulation skills from simulation to real-world robots—a critical bottleneck in robotics. Jiang’s work addresses the fundamental challenge of enabling robots to understand and interact with complex, movable objects in human environments. More recently, he introduced **RoboEXP**, which pioneers the task of interactive scene exploration. This work generates action-conditioned scene graphs (ACSGs) that fuse geometric, semantic, and kinematic information, allowing robots to autonomously map and manipulate their surroundings. By bridging the gap between high-level scene understanding and low-level control, Jiang’s research is shaping the future of autonomous robotic manipulation in unstructured homes.
Research Focus
Key Achievements
Top Papers
- 1SAPIEN: A SimulAted Part-Based Interactive ENvironment373 citations · 2020
- 2SAPIEN: A SimulAted Part-based Interactive ENvironment22 citations · 2020
- 3