Kaiyuan Chen
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
Top Papers
- 1FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 238 citations · 2023
- 2FogROS2-SGC: A ROS2 Cloud Robotics Platform for Secure Global Connectivity19 citations · 2023
- 3
- 4Lifelong LERF: Local 3D Semantic Inventory Monitoring Using FogROS25 citations · 2024
- 5
- 6
- 7FogROS2-FT: Fault Tolerant Cloud Robotics2 citations · 2024
- 8FogROS2-PLR: Probabilistic Latency-Reliability for Cloud Robotics1 citations · 2025