Papers
1
Total Citations
3
H-Index
1
About
Leiji Lu is a robotics researcher whose work centers on adaptive motion planning and control systems for specialized industrial robots, with a particular focus on applications in nuclear fusion environments. His most notable contribution is the development of an iterative tractrix-based motion planning algorithm for the CFETR (China Fusion Engineering Test Reactor) multipurpose overload robot, a critical innovation for handling heavy payloads in hazardous, confined spaces. This work, published in 2023, has already garnered 3 citations, signaling early impact in the niche field of fusion reactor robotics. Lu’s research addresses the complex challenge of enabling robots to navigate and manipulate objects in environments where traditional path planning fails due to dynamic constraints and spatial limitations. By integrating tractrix theory—a geometric approach to path following—with adaptive control, his method improves both safety and efficiency for remote handling tasks. This achievement positions Lu as a rising contributor to the intersection of robotics and fusion energy infrastructure, where precise, reliable automation is essential for reactor maintenance and operation.
Research Focus
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