Yuzhe Fei
Papers
1
Total Citations
17
H-Index
1
About
Yuzhe Fei is a rising researcher in robotics and autonomous systems, with a focus on motion planning and obstacle avoidance for mobile manipulators. His most-cited work, "An Orthogonal Repetitive Motion and Obstacle Avoidance Scheme for Omnidirectional Mobile Robotic Arm" (2024), introduces the HORMAOA scheme—a hybrid approach that enables omnidirectional mobile robotic arms (OMRAs) to navigate complex environments while maintaining precise repetitive motion. This contribution addresses a critical challenge in robotics: ensuring accurate task execution without collisions, even in dynamic settings. With 17 citations in its first year, the paper has quickly gained attention for its practical applicability in industrial automation and service robotics. Fei’s research bridges theoretical optimization and real-world deployment, offering scalable solutions for autonomous navigation. His work is particularly notable for integrating orthogonal motion principles with real-time obstacle avoidance, a novel combination that enhances both safety and efficiency. As a young scholar, Fei is already shaping the future of mobile manipulation, making his research essential reading for students and engineers working on next-generation robotic systems.
Research Focus
Key Achievements
Top Papers
- 1