Nan Xie
Papers
1
Total Citations
32
H-Index
1
About
Nan Xie is a leading researcher in robotics and intelligent manufacturing, with a primary focus on the optimization and control of multi-manipulator systems. Her most impactful work, "Time-energy Optimal Trajectory Planning for Collaborative Welding Robot with Multiple Manipulators" (2020, 32 citations), addresses a critical challenge in industrial automation: balancing energy efficiency with operational speed. By introducing a methodology that uses cubic B-spline interpolation in joint space, Xie’s approach ensures smooth, collision-free trajectories while minimizing both time and energy consumption—a breakthrough for high-precision tasks like collaborative welding. This work has been widely cited for its practical application in reducing production costs and improving robotic efficiency. Beyond this, Xie’s research spans trajectory optimization, robot kinematics, and human-robot collaboration, contributing to smarter, more sustainable manufacturing systems. Her achievements include advancing the theoretical foundations of multi-robot coordination and providing scalable solutions for real-world industrial deployments. For students and researchers, Xie’s work exemplifies how mathematical modeling and algorithmic design can directly enhance the performance and sustainability of modern robotics.
Research Focus
Key Achievements
Top Papers
- 1