Papers
1
Total Citations
8
H-Index
1
About
Su Pang is a robotics researcher whose work lies at the intersection of cloud computing and autonomous navigation, with a particular focus on enabling real-time, scalable localization for mobile robots in large-scale outdoor environments. His most cited paper, "Cloud‐based Real‐time Outsourcing Localization for a Ground Mobile Robot in Large‐scale Outdoor Environments" (2017), introduces a novel architecture that offloads computationally intensive localization tasks to cloud infrastructure. This approach allows resource-constrained ground robots to achieve accurate, real-time positioning without onboard high-performance hardware, effectively marrying the flexibility of cloud robotics with the demands of field robotics. By demonstrating how distributed computing resources can be leveraged to overcome the limitations of traditional onboard processing, Pang’s work contributes to the broader vision of more intelligent, connected robotic systems. Though his citation count is modest, his research addresses a critical bottleneck in autonomous navigation—scalability and computational efficiency—and offers a practical pathway for deploying robots in expansive, unstructured environments. His contributions are particularly relevant for students and researchers exploring the convergence of cloud computing and mobile robotics.
Research Focus
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Top Papers
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