Boshu Lei
Papers
1
Total Citations
23
H-Index
1
About
Boshu Lei is a robotics researcher whose work focuses on motion planning and autonomous navigation in complex, dynamic environments. Lei’s key contribution is the development of the Multi-Risk-RRT algorithm, an efficient motion planning approach designed for robotic systems operating in crowded public spaces like airports. This work, published in 2024 and already garnering 23 citations, addresses the critical challenge of ensuring reliable and timely robot navigation amid unpredictable obstacles. By integrating multiple risk metrics into the Rapidly-exploring Random Tree (RRT) framework, Lei’s algorithm enables robots—such as autonomous luggage trolley collectors—to balance safety and efficiency, avoiding collisions while meeting strict arrival deadlines. This research has direct applications in logistics, service robotics, and smart infrastructure. Lei’s work stands out for its practical focus on real-world deployment, bridging the gap between theoretical motion planning and the demands of high-stakes environments. With a growing citation record and a clear impact on autonomous navigation, Boshu Lei is emerging as a promising voice in the field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1