Yecheng Xiang
Papers
1
Total Citations
5
H-Index
1
About
Yecheng Xiang is a rising researcher in the field of real-time and embedded systems, with a particular focus on predictable computing for robotic platforms. His work centers on the intersection of middleware, resource management, and timing guarantees for safety-critical applications. Xiang’s most notable contribution is the PAAM framework (Priority-driven Accelerator Access Management), introduced in his 2024 paper, which tackles the challenge of coordinating access to hardware accelerators (like GPUs) in multi-process robotic systems built on ROS 2. By enabling priority-driven, coordinated management of accelerator resources, his research directly addresses the need for predictable execution of time- and safety-critical callback chains—a key bottleneck in modern autonomous systems. Though early in his career, his work has already garnered attention, with his flagship paper accumulating 5 citations within its first year, signaling growing impact in the robotics and real-time systems communities. Xiang’s contributions are particularly relevant for students and researchers working on autonomous vehicles, industrial robotics, and any domain where deterministic timing is essential for safety.
Research Focus
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Top Papers
- 1