Papers
2
Total Citations
38
H-Index
2
About
Lei Tian is a researcher specializing in autonomous robotics, intelligent navigation systems, and path planning algorithms, with a focus on real-world applications in industrial and public health contexts. His work sits at the intersection of artificial intelligence and mobile robotics, developing sophisticated computational methods to enhance the autonomy and efficiency of unmanned systems. Tian's most notable contribution is his development of a Multi-Objective Cauchy Mutation Cat Swarm Optimization Algorithm for path planning in intelligent patrol cars, published in 2020 and garnering 36 citations. This work addresses critical challenges in autonomous navigation for robots deployed in sensitive industrial environments such as power distribution rooms and data centers, where equipment defect detection demands both precision and reliability. By adapting swarm intelligence principles, Tian demonstrated meaningful improvements in navigation efficiency and obstacle avoidance. Building on this foundation, his 2021 research introduced a Dynamic A* Algorithm tailored for unmanned epidemic prevention vehicles, highlighting his ability to apply robotics solutions to urgent societal challenges, particularly in hazardous or contaminated environments inaccessible to human personnel. Together, these contributions reflect Tian's commitment to advancing practical, algorithm-driven solutions that bridge theoretical robotics research and real-world autonomous system deployment.
Research Focus
Key Achievements
Top Papers
- 1
- 2