Papers
2
Total Citations
5
H-Index
2
About
Liang Xia is a robotics researcher focused on advanced motion planning and control for remote handling systems in nuclear fusion environments. His primary research areas include adaptive motion planning, kinematic modeling, and predictive control of heavy-duty manipulators, particularly the CFETR multipurpose overload robot (CMOR) — a critical component for China’s Fusion Engineering Test Reactor. Xia’s major contributions include developing an adaptive motion planning method based on iterative tractrix theory, which enables precise trajectory generation for overload robots operating in constrained spaces. His work on accurate morphology predictive control further advances the field by establishing kinematic models that analyze structural deformation and stress characteristics during robot motion, ensuring safe and reliable operation in high-radiation environments. While his most-cited papers have garnered 3 and 2 citations respectively, their significance lies in addressing fundamental challenges for fusion reactor maintenance. Xia’s research directly supports the development of autonomous robotic systems for one of the most demanding engineering applications — maintaining fusion reactors — positioning him as an emerging contributor to the intersection of robotics and nuclear engineering.
Research Focus
Key Achievements
Top Papers
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