Hugo Zhan

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About

Hugo Zhan is a leading researcher in cloud and fog robotics, with a focus on enabling resource-constrained robots to access powerful remote computing. His major contribution is the development of FogROS2, an adaptive platform that seamlessly integrates cloud and fog computing with ROS 2, allowing robots to offload computationally intensive tasks—such as perception, planning, and control—to remote servers. This work directly addresses the fundamental challenge of limited onboard computing power, mobility, and energy constraints in modern robotics. Since its publication in 2023, FogROS2 has already garnered 38 citations, reflecting its rapid adoption and significance in the field. Zhan’s research has broad implications for autonomous systems, from warehouse logistics to search-and-rescue operations, by democratizing access to high-performance computing. His notable achievement includes designing a platform that supports multiple cloud providers and low-latency edge nodes, making advanced robotics algorithms practical for real-world deployment. For students and researchers, Zhan’s work exemplifies how bridging cloud infrastructure with robotics can unlock new capabilities, offering a scalable path toward more intelligent and autonomous machines.