Shang Liu
Papers
2
Total Citations
4
H-Index
2
About
Shang Liu is a researcher at the intersection of robotics, manipulation, and adaptive architectural systems. Her work focuses on enabling robots to interact with unstructured environments through robust perception and control. In her highly cited 2023 paper, she developed a novel method for grasp pose adaptation that fuses RGBD camera data with force/torque sensing, allowing robots to dynamically adjust their grip based on the object's center of mass—a critical advance for handling irregular or fragile items. This work has garnered 2 citations and demonstrates her strength in sensor integration. Earlier, in 2019, Liu explored the frontier of architectural robotics by designing an actuated, active transforming structure that responds to human presence via face detection. This project, also with 2 citations, showcases her ability to merge mechanical design with real-time sensing, envisioning buildings that can physically reconfigure themselves. Through these contributions, Shang Liu is shaping a future where robots and built environments are more responsive, safe, and intelligent.
Research Focus
Key Achievements
Top Papers
- 1
- 2