Xunwei Tong
Papers
1
Total Citations
8
H-Index
1
About
Xunwei Tong is a robotics researcher whose work focuses on the intersection of trajectory planning and dynamic load-carrying capacity (DLCC) for advanced robotic manipulators. His most cited paper, "A New Methodology for Solving Trajectory Planning and Dynamic Load-Carrying Capacity of a Robot Manipulator" (2016, 8 citations), introduces a novel direct method for optimizing both the trajectory and maximum payload of a 5-degree-of-freedom (DOF) hybrid robot. By formulating a nonlinear constrained multiobjective optimization problem with four objectives, Tong’s methodology enables robots to achieve efficient motion while handling heavier loads—a critical advancement for industrial automation and manufacturing. This work bridges the gap between theoretical optimization and practical robotic performance, offering engineers a systematic approach to balancing speed, energy, and payload. Though early in his career, Tong’s contributions are foundational for researchers tackling the complex trade-offs in robot design and control. His research continues to influence the development of more capable, load-aware robotic systems, making him a rising voice in the field of robotic manipulation and optimization.
Research Focus
Key Achievements
Top Papers
- 1