Yangyi Zhang
Papers
1
Total Citations
5
H-Index
1
About
Yangyi Zhang is a robotics researcher whose work centers on advancing autonomous navigation through innovative computer vision techniques. Zhang’s most notable contribution is the development of pseudo-binocular stereo vision, a method that enables robots to perceive depth and navigate effectively using a single camera by moving the robot body laterally. This approach, combined with linear fitting and semi-global matching algorithms, offers a cost-effective alternative to traditional binocular systems. Although early in their career, Zhang’s 2020 paper on this topic has garnered 5 citations, signaling growing interest in practical, low-cost navigation solutions. This work holds particular promise for applications in resource-constrained environments, such as small-scale robots or field robotics, where hardware simplicity is critical. Zhang’s research bridges the gap between theoretical stereo vision and real-world robotic mobility, laying groundwork for more accessible autonomous systems. As the field increasingly seeks efficient, minimalist sensing strategies, Zhang’s contributions are poised to influence future developments in robot navigation and visual odometry.
Research Focus
Key Achievements
Top Papers
- 1