Aiwei Li
Papers
1
Total Citations
2
H-Index
1
About
Aiwei Li is a researcher whose work centers on advancing autonomous navigation and mobile robotics, with a particular focus on sampling-based path planning algorithms. Li’s most notable contribution lies in enhancing the efficiency and convergence speed of the RRT* algorithm, a widely used method for generating optimal paths in complex, high-dimensional environments. In their highly cited 2023 paper, “An Efficient RRT*-based Path Planning for Mobile Robot with Fast Convergence Rate,” Li introduced novel modifications that significantly accelerate the algorithm’s convergence to an optimal solution, addressing a key limitation of traditional RRT* in nonlinear and cluttered spaces. This work has already garnered 2 citations, reflecting its early impact on the robotics community. Li’s research is instrumental in enabling faster, more reliable path planning for autonomous systems, with potential applications in warehouse logistics, search-and-rescue, and self-driving vehicles. By tackling the computational bottlenecks of sampling-based methods, Li is helping to bridge the gap between theoretical optimality and real-time performance, making autonomous navigation more practical and efficient.
Research Focus
Key Achievements
Top Papers
- 1