Papers
1
Total Citations
28
H-Index
1
About
Yushan Zeng is a researcher at the forefront of intelligent robotics and computer vision, with a focus on integrating advanced computational algorithms to enhance autonomous navigation systems. Their most cited work, "Design of robot automatic navigation under computer intelligent algorithm and machine vision" (2022), has garnered 28 citations, reflecting its significance in bridging machine vision with real-time robotic decision-making. Zeng’s contributions lie in developing algorithms that enable robots to perceive and navigate complex environments with greater accuracy and efficiency, addressing critical challenges in automation and human-robot interaction. By combining computer intelligence with visual data processing, their research has practical implications for industries ranging from manufacturing to autonomous vehicles. This work not only advances theoretical understanding in the field but also provides a scalable framework for future innovations in robotic autonomy. Zeng’s achievements underscore a commitment to solving real-world problems through interdisciplinary approaches, making their research a valuable resource for students and engineers exploring the intersection of AI, robotics, and sensor technology.
Research Focus
Key Achievements
Top Papers
- 1