Xueyang Li
Papers
1
Total Citations
11
H-Index
1
About
Xueyang Li is a pioneering researcher in robotics, specializing in loco-manipulation, wheel-legged robot control, and curriculum learning for complex autonomous systems. Their most notable contribution is the development of an arm-constrained curriculum learning framework for wheel-legged robots, which integrates a robotic manipulator to enhance agility and practical utility. This work, published in 2024 and already garnering 11 citations, addresses critical challenges in maintaining stability and managing uncertainties during manipulation tasks—a significant advancement for real-world deployment. Li’s research bridges the gap between locomotion and manipulation, enabling robots to perform dynamic tasks in unstructured environments. By leveraging curriculum learning strategies, they systematically train robots to handle increasingly complex constraints, improving both safety and performance. Their work has implications for search-and-rescue, industrial automation, and assistive robotics. With a growing citation record and a focus on pushing the boundaries of robot autonomy, Xueyang Li is establishing themselves as a rising force in the field, offering innovative solutions to some of robotics’ most pressing control problems.
Research Focus
Key Achievements
Top Papers
- 1