Xianping Yu
Papers
1
Total Citations
28
H-Index
1
About
Xianping Yu is a researcher at the forefront of intelligent robotics, specializing in the integration of computer intelligent algorithms and machine vision for autonomous navigation. Their most-cited work, "Design of robot automatic navigation under computer intelligent algorithm and machine vision" (2022), has garnered 28 citations, reflecting its timely contribution to advancing robotic perception and decision-making. Yu’s research focuses on developing robust algorithms that enable robots to interpret visual data and navigate complex environments without human intervention—a critical step toward fully autonomous systems in manufacturing, logistics, and service robotics. By bridging machine vision with adaptive control strategies, Yu has helped refine how robots process real-time sensory input for path planning and obstacle avoidance. This work not only demonstrates practical engineering solutions but also lays groundwork for future innovations in human-robot collaboration. As a rising voice in the field, Yu’s contributions are shaping the next generation of intelligent, self-navigating machines.
Research Focus
Key Achievements
Top Papers
- 1