Kaiyuan Chen

University of California, Berkeley

Papers

8

Total Citations

85

H-Index

5

About

Kaiyuan Chen is a robotics systems researcher whose work centers on cloud and fog robotics, distributed computing infrastructure, and the integration of ROS 2-based platforms with scalable cloud services. He is best known as a principal contributor to the FogROS2 ecosystem — a suite of tools that enables robots with limited onboard computing power to seamlessly offload demanding algorithms to cloud and edge servers from providers such as AWS, GCP, and Azure. His flagship paper, "FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2" (2023, 38 citations), established a foundational framework that the robotics community has rapidly adopted. Chen has systematically expanded this platform to address critical real-world challenges, including secure global connectivity (FogROS2-SGC, 19 citations), latency-sensitive routing (FogROS2-LS), fault tolerance, probabilistic reliability guarantees, and automated server configuration selection. Beyond infrastructure, his work on Lifelong LERF demonstrates an ability to bridge cloud robotics with cutting-edge semantic scene understanding for practical inventory monitoring applications. Collectively, his research lowers the barrier for deploying capable, compute-intensive robots in mobility-constrained environments, making him a notable emerging voice in robot systems engineering.

Research Focus

Key Achievements

5
H-Index
8
Papers
85
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2
38 citations · 2023
📈 Most Prolific Year: 2024 (4 Papers)
🤝 Key Collaborators: 36
🏛 Institutions: University of California, Berkeley

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago