Yafei Liang
Papers
1
Total Citations
37
H-Index
1
About
Yafei Liang is a leading researcher in fog and cloud robotics, whose work addresses the critical challenge of offloading computationally intensive tasks from resource-constrained robots to distributed cloud infrastructure. His most influential contribution, the FogROS framework (2021, 37 citations), provides an adaptive system that automates the deployment of robotic applications across fog and cloud resources, enabling real-time deep-learning inference and multi-core processing without requiring high onboard computing power. This work directly tackles the latency and bandwidth limitations that have historically hindered cloud robotics, making it economically viable for systems with limited local capacity. Liang’s research has been instrumental in bridging the gap between robotics and edge computing, demonstrating how adaptive resource allocation can maintain performance in dynamic environments. His contributions have been recognized as foundational to the emerging field of fog robotics, and his framework continues to influence subsequent work on distributed robot autonomy.
Research Focus
Key Achievements
Top Papers
- 1FogROS: An Adaptive Framework for Automating Fog Robotics Deployment37 citations · 2021