Junxi Li
Papers
2
Total Citations
14
H-Index
2
About
Dr. Junxi Li is a rising leader in autonomous navigation and intelligent robotics, with a focus on solving critical challenges in precision localization and industrial automation. His work bridges the gap between theoretical sensor fusion and real-world deployment, particularly in GPS-denied environments. Dr. Li’s most impactful contribution is the development of **UVIO**, an adaptive Kalman filtering system that integrates Ultra-Wideband (UWB) technology with Visual-Inertial SLAM. This system, published in 2024 with 7 citations, addresses the fundamental problem of reliable positioning in complex indoor spaces where GPS signals fail, offering a low-energy, high-accuracy solution for autonomous robots and drones. In parallel, his 2025 work on **PSO-based optimal coverage path planning** tackles the demanding task of surface defect inspection in the 3C electronics industry. By optimizing the path of a robotic line scanner, his algorithm dramatically improves inspection efficiency for components with limited fields of view, a direct contribution to smart manufacturing. With both papers already garnering early citations, Dr. Li is establishing himself as a key innovator in adaptive robotics and industrial quality control.
Research Focus
Key Achievements
Top Papers
- 1
- 2