Xiaoqian Mu
Papers
1
Total Citations
6
H-Index
1
About
Xiaoqian Mu is a rising researcher at the intersection of robotics, mechanics, and intelligent manipulation. Her primary research areas include dexterous robotic manipulation, fracture mechanics, and force-controlled cutting, with a focus on enabling robots to perform complex, real-world tasks such as food preparation. Mu’s most notable contribution is her pioneering work on robotic cutting of natural foods, where she integrates principles of fracture mechanics with precise force control to achieve smooth, efficient material separation. Her 2023 paper, "Dexterous Robotic Cutting Based on Fracture Mechanics and Force Control," has already garnered 6 citations, signaling early impact in this niche but growing field. By modeling the cutting process as work performed against material toughness and blade geometry, Mu provides a foundational framework for robots to handle deformable, heterogeneous objects—a critical step toward autonomous kitchen assistants. Her work bridges theoretical mechanics and practical robotics, offering insights that could extend beyond cooking to surgical robotics or industrial processing. As an emerging voice in embodied AI and manipulation, Mu’s research promises to reshape how robots interact with and adapt to the physical world.
Research Focus
Key Achievements
Top Papers
- 1Dexterous Robotic Cutting Based on Fracture Mechanics and Force Control6 citations · 2023