Papers
1
Total Citations
61
H-Index
1
About
Zhibin Xie is a researcher specializing in robotics path planning and autonomous navigation, with a particular focus on improving the efficiency and safety of indoor mobile robots. His most influential work introduces a probability smoothing Bi-RRT (Bidirectional Rapidly-exploring Random Tree) algorithm, which addresses critical challenges in real-time path planning for cluttered indoor environments. By integrating probabilistic smoothing techniques with bidirectional search, Xie’s approach significantly reduces path length and computational overhead while enhancing obstacle avoidance—a breakthrough that has garnered 61 citations since its 2023 publication. This work stands out for its practical applicability in service robotics and warehouse automation, where rapid, collision-free navigation is essential. Xie’s contributions are recognized for bridging the gap between theoretical sampling-based planning and real-world deployment, offering a robust solution to the trade-off between exploration speed and path optimality. His research continues to influence the development of adaptive, low-latency navigation systems, making him a notable figure in the advancement of intelligent robotics for dynamic indoor spaces.
Research Focus
Key Achievements
Top Papers
- 1A probability smoothing Bi-RRT path planning algorithm for indoor robot61 citations · 2023