Yuquan Xu
Papers
2
Total Citations
28
H-Index
2
About
Yuquan Xu is a robotics researcher whose work centers on motion planning and novel robot morphology, with a particular focus on enhancing terrain adaptability and operational robustness. His most influential contribution, "Robot path planning in narrow passages based on improved PRM method" (2024), has already garnered 24 citations, demonstrating its immediate impact on the field of autonomous navigation. In this work, Xu advanced probabilistic roadmap (PRM) algorithms to solve the long-standing challenge of efficient path planning in constrained environments, offering a practical solution for robots operating in cluttered or complex spaces. Complementing this, his design and control of the sphere-wheel-legged robot (2024) represents a significant engineering achievement, merging the stability of spherical robots with the agility of wheeled and legged systems. This hybrid platform, capable of seamlessly transitioning between three distinct motion modes, promises enhanced performance in both surveillance and exploration tasks. Through these contributions, Xu is establishing himself as a creative force in robotics, pushing the boundaries of how robots can move and adapt in the real world.
Research Focus
Key Achievements
Top Papers
- 1Robot path planning in narrow passages based on improved PRM method24 citations · 2024
- 2System design and control of the sphere-wheel-legged robot4 citations · 2024