Ruining Lei
Papers
1
Total Citations
2
H-Index
1
About
Ruining Lei is a robotics researcher focused on intelligent motion planning and autonomous systems, with a particular emphasis on multi-objective optimization for service robots. Lei’s most notable contribution is the development of an improved multi-objective path planning algorithm, demonstrated through its application to tennis ball collection robots. This work addresses a practical challenge in sports technology: enabling autonomous robots to efficiently gather scattered tennis balls, thereby reducing athlete workload and enhancing training productivity. The proposed scheme balances competing objectives such as path length, energy consumption, and coverage, showcasing a novel approach to real-world robotic navigation. While the 2023 paper has garnered 2 citations to date, it represents a foundational step toward integrating robotics into athletic environments. Lei’s research holds significant application value in sports automation and human-robot collaboration, with potential extensions to other domains like warehouse logistics or agricultural robotics. By bridging algorithmic innovation with tangible use cases, Lei’s work exemplifies how robotics can streamline repetitive tasks, offering both academic insight and practical impact for students and researchers exploring autonomous systems in specialized settings.
Research Focus
Key Achievements
Top Papers
- 1