Papers
1
Total Citations
39
H-Index
1
About
Yixu Wan is a robotics researcher whose work centers on motion planning and control for non-conventional mobile robots, with a particular focus on spherical and pendulum-driven systems. His most cited contribution, an improved hybrid A* path planning method for spherical mobile robots based on pendulum dynamics, addresses the unique navigational challenges posed by robots with limited lateral movement and nonzero minimal turning radii. This work, which has garnered 39 citations, demonstrates his ability to adapt classical path planning algorithms to novel mechanical constraints, enabling more feasible and efficient trajectories for these unconventional platforms. Wan's research bridges the gap between theoretical motion planning and practical robotic locomotion, offering solutions that are directly applicable to exploration, surveillance, and other domains requiring agile, all-terrain mobility. His contributions are particularly valuable for students and researchers interested in non-holonomic systems, hybrid A* variants, and the intersection of mechanical design with autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1