Yifei Wang
Papers
1
Total Citations
6
H-Index
1
About
Yifei Wang is a leading researcher in autonomous mobile robotics, with a primary focus on real-time path planning and safe navigation in complex, unstructured environments. His most cited work introduces a groundbreaking multilevel terrain-aware path planning framework for ground mobile robots operating in large-scale rough terrains. This approach directly addresses the critical challenge of preventing tip-overs and collisions by accounting for a robot’s complex configuration—including specially designed links and joints—which traditionally creates a high-dimensional workspace and substantial computational hurdles. By enabling real-time decision-making that respects both terrain geometry and robot dynamics, Wang’s research significantly advances the practical deployment of autonomous systems in demanding outdoor settings. With his 2025 paper already garnering 6 citations, his contributions are rapidly gaining recognition for bridging the gap between theoretical motion planning and real-world robotic autonomy. Wang’s work is essential reading for engineers and researchers developing resilient, field-ready robots for applications ranging from search-and-rescue to planetary exploration.
Research Focus
Key Achievements
Top Papers
- 1