Junwei Yu
Papers
1
Total Citations
59
H-Index
1
About
Dr. Junwei Yu is a leading researcher in autonomous robotics and intelligent transportation systems, with a focus on optimizing urban mobility through advanced scheduling and planning algorithms. His most cited work, "Multiobjective Scheduling Strategy With Genetic Algorithm and Time-Enhanced A* Planning for Autonomous Parking Robotics in High-Density Unmanned Parking Lots" (2020, 59 citations), addresses the critical challenge of parking scarcity in urban environments. Dr. Yu pioneered a novel approach that integrates genetic algorithms with time-enhanced A* path planning to efficiently coordinate multiple parking robots in high-density lots, significantly improving land utilization and operational efficiency. This contribution has practical implications for smart city infrastructure, offering a scalable solution to reduce congestion and space waste. His research demonstrates a unique blend of multiobjective optimization and real-world robotics application, earning recognition among peers for its innovative problem-solving. With a growing citation impact, Dr. Yu’s work continues to inspire advances in autonomous logistics and urban automation, making him a notable figure in the field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1