Jubo Yang
Papers
1
Total Citations
2
H-Index
1
About
Jubo Yang is a researcher whose work lies at the intersection of robotics, automation, and intelligent manufacturing, with a particular focus on spray path planning and 3D point cloud processing. Their most notable contribution is a pioneering algorithm that enables spray robots to autonomously generate efficient, collision-free paths directly from 3D point cloud data—a critical advancement for mixed-line production environments where diverse workpieces, such as furniture, are handled without manual reprogramming. This work, published in 2020, addresses a longstanding challenge in industrial robotics: the need for flexible, automated path generation that adapts to varying geometries. While the paper has garnered 2 citations to date, its conceptual foundation is poised to influence future research in adaptive robotic manufacturing and digital twin integration. Yang’s approach bridges the gap between raw sensor data and actionable robotic instructions, offering a scalable solution for smart factories. Their research underscores a commitment to practical, data-driven automation, making them a notable voice in the evolving landscape of intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1A Path Planning Algorithm of Spray Robot based on 3D Point Cloud2 citations · 2020