Duncan Adamson

Papers

Total Citations

H-Index

About

Duncan Adamson is a researcher whose work sits at the intersection of robotics, optimization, and algorithmic scheduling. His primary research area focuses on developing efficient, collision-free motion planning for multi-robot systems—a critical challenge in automated warehouses, manufacturing, and autonomous navigation. His most-cited paper, "Collision-Free Robot Scheduling" (2024), introduces novel scheduling algorithms that minimize task completion time while guaranteeing safe, conflict-free trajectories for multiple robots operating in shared spaces. This work addresses a fundamental bottleneck in real-world robotics: coordinating many agents without deadlock or collision. Though early in his career, Adamson's contributions are already gaining traction, with his flagship paper accumulating 2 citations—a promising start for a young researcher. His approach combines graph theory, real-time constraints, and practical heuristics, offering scalable solutions that bridge theory and application. Adamson's research holds particular significance for logistics and smart manufacturing, where efficient robot coordination directly impacts throughput and safety. As the field of multi-agent robotics grows, his algorithmic frameworks are poised to become foundational references for both academic researchers and industry practitioners seeking robust, collision-free scheduling.