Samuel Grayson

Papers

Total Citations

H-Index

About

Samuel Grayson is a researcher at the intersection of robotics and real-time systems, with a primary focus on CPU scheduling for resource-constrained robot platforms. His most-cited work, "On-Device CPU Scheduling for Robot Systems" (2022, 6 citations), addresses a critical challenge in autonomous robotics: ensuring that complex pipelines of sensing, perception, planning, and reaction tasks meet stringent real-time deadlines on limited onboard hardware. Grayson’s contributions center on developing scheduling policies that balance performance goals with application-specific requirements, enabling robots to make highly responsive decisions without relying on cloud computing. This work is particularly impactful for mobile robots and drones, where latency and power constraints are paramount. Beyond his flagship paper, Grayson’s research explores how to optimize task allocation and resource management in embedded systems, bridging the gap between theoretical scheduling algorithms and practical robotic deployments. His findings are increasingly cited by engineers designing autonomous systems for industrial automation, search-and-rescue, and autonomous navigation. Grayson’s work stands out for its pragmatic approach—translating complex scheduling theory into actionable solutions for real-world robots.