Donglai Ran

Papers

Total Citations

H-Index

About

Donglai Ran is a robotics researcher focused on solving real-world industrial automation challenges, particularly in autonomous mobile robot (AMR) perception and docking. His work centers on developing robust, cost-effective fiducial marker systems that can withstand the harsh conditions of manufacturing environments—where lighting is unpredictable, surfaces are reflective, and occlusion is common. Ran’s most cited paper, “FiMa-Reader” (2023, 5 citations), directly addresses the three critical pain points of industrial robot docking: complex deployment, lighting sensitivity, and the inability to read product information during docking. Building on this, his 2024 work “CopperTag” introduces a real-time, occlusion-resilient fiducial marker designed for factory floors and equipment surfaces, where traditional markers like AprilTag and ArUco often fail. By pioneering markers that remain detectable under challenging industrial conditions, Ran is bridging the gap between laboratory-perfect vision systems and the messy reality of production lines. His contributions are essential for enabling truly autonomous, flexible manufacturing—where robots can dock, grasp, and identify parts without human intervention.