Camilo Buscaron

University of California, Berkeley

Papers

1

Total Citations

38

H-Index

1

About

Camilo Buscaron is a leading researcher at the intersection of robotics and cloud computing, with a primary focus on enabling computationally intensive robot algorithms through adaptive cloud and fog platforms. His most impactful contribution is the development of FogROS2, a pioneering platform that seamlessly integrates cloud and fog computing with the Robot Operating System 2 (ROS 2). This work addresses a critical bottleneck in robotics: the inherent computational limitations of mobile robots, which often cannot run modern algorithms at desired speeds due to constraints in power, size, and cost. By leveraging cloud providers like AWS, GCP, and Azure, FogROS2 allows robots to offload heavy processing tasks—such as perception, planning, and control—to remote servers, dramatically expanding their capabilities. Buscaron’s research has already garnered significant attention, with his 2023 paper on FogROS2 accumulating 38 citations in just its first year, signaling strong impact in the robotics community. His work not only advances the practical deployment of autonomous systems but also democratizes access to high-performance computing for robots, making it a cornerstone for future research in cloud robotics and edge computing.

Research Focus

Key Achievements

1
H-Index
1
Papers
38
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2
38 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: University of California, Berkeley

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago