Xinyang Ren
Papers
1
Total Citations
14
H-Index
1
About
Xinyang Ren is a researcher specializing in robotics and autonomous systems, with a particular focus on real-time perception and localization for automated guided vehicles (AGVs). Their most cited work, "Fast, robust and accurate posture detection algorithm based on Kalman filter and SSD for AGV" (2018), has garnered 14 citations, demonstrating its foundational impact on industrial automation. Ren’s key contributions lie in integrating Kalman filtering with single-shot multibox detector (SSD) algorithms to achieve rapid and precise posture estimation, enabling AGVs to navigate dynamic environments with enhanced reliability. This work addresses critical challenges in warehouse and factory automation, balancing computational efficiency with accuracy. Ren’s research bridges computer vision and control systems, offering practical solutions for real-world deployment. Their achievements highlight a commitment to advancing robust sensor fusion techniques, making them a notable figure in the field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1