Wenxuan Xing
Papers
1
Total Citations
9
H-Index
1
About
Wenxuan Xing is a robotics researcher whose work focuses on real-time GPU resource management within the Robot Operating System (ROS) ecosystem. His most notable contribution is the development of ROSGM, a pioneering real-time GPU management framework with plug-in policies for ROS 2. This work directly addresses a critical gap in robotics software: while GPUs are increasingly essential for computation-heavy tasks like perception and navigation, ROS lacked native mechanisms for GPU resource allocation. By introducing a flexible, policy-driven framework, Xing enables more predictable and efficient GPU scheduling for multi-component robotic systems. His 2023 paper on ROSGM has already garnered 9 citations, signaling its relevance to the growing field of resource-aware robotics. Xing’s contributions are particularly significant for developers building complex, real-time robotic applications that require tight integration of CPU and GPU workflows. His work helps bridge the gap between high-performance computing and practical robotics deployment, making him a key figure in advancing the capabilities of modern ROS-based systems.
Research Focus
Key Achievements
Top Papers
- 1