Shuze Shen
Papers
1
Total Citations
1
H-Index
1
About
Shuze Shen is a researcher advancing the frontiers of multi-robot systems and cooperative localization, with a particular focus on leveraging cloud computing to overcome real-world deployment challenges. His most-cited work, “Laser Rangefinder-Based Multi-Robot Cooperative Localization Using Cloud Computing” (2023), addresses a critical bottleneck in outdoor multi-robot applications—namely, the low precision of baseline measurements between robots when relying solely on Global Positioning Systems. By integrating laser rangefinders with cloud-based processing, Shen proposes a framework that enhances localization accuracy for sectors like shipping, production, and logistics. While his citation count is still emerging, this foundational paper signals a promising trajectory in practical, scalable multi-robot coordination. Shen’s contributions lie at the intersection of sensor fusion, distributed computing, and robotics, aiming to make cooperative localization robust enough for real-world industrial use. As the demand for autonomous multi-robot fleets grows, his work offers a tangible step toward reliable, cloud-enabled navigation—a key enabler for future logistics and manufacturing ecosystems.
Research Focus
Key Achievements
Top Papers
- 1