Jiarui Hou

Papers

Total Citations

H-Index

About

Jiarui Hou is a robotics researcher whose work centers on intelligent automation and autonomous navigation systems, with a particular focus on the practical deployment of robotic solutions in industrial settings. Hou’s most-cited paper, "Development of ROS-Based Laser Navigation Forklift AGV System" (2022), exemplifies this focus by detailing the integration of the Robot Operating System (ROS) with laser-based navigation to create a cost-effective, reliable automated guided vehicle (AGV) for material handling. This work, which has garnered 4 citations, addresses a critical challenge in logistics and manufacturing: enabling forklifts to navigate dynamic environments without fixed infrastructure. By leveraging ROS’s modular architecture, Hou’s system demonstrates how open-source robotics frameworks can accelerate the development of industrial automation, reducing both cost and complexity. Though early in their career, Hou’s contributions highlight a commitment to bridging the gap between academic robotics research and real-world industrial applications. Their work serves as a valuable resource for students and engineers exploring autonomous navigation, sensor integration, and the practical challenges of deploying AGVs in warehouse and factory environments.