Robin Luckey
Papers
1
Total Citations
9
H-Index
1
About
Robin Luckey is a leading researcher in the field of multi-robot systems, with a particular focus on scalability, edge computing, and real-world deployment challenges. Their most cited work, "Do We Run Large-scale Multi-Robot Systems on the Edge? More Evidence for Two-Phase Performance in System Size Scaling" (2024, 9 citations), provides critical insights into how system performance degrades as robot swarms grow, revealing a two-phase scaling behavior that challenges existing assumptions. This contribution is pivotal for designing robust, large-scale robotic networks that can operate efficiently at the edge. Luckey’s research bridges the gap between theoretical swarm robotics and practical implementation, addressing how increasing robot density impacts interaction, collaboration, and overall system throughput. Their work has significant implications for logistics, environmental monitoring, and autonomous exploration, where hundreds or thousands of robots must coordinate in real time. With a growing citation footprint, Luckey is recognized for advancing the understanding of system size scaling and for pushing the boundaries of what is possible in decentralized, edge-based multi-robot coordination. Their findings are essential reading for students and engineers aiming to build the next generation of scalable, resilient robotic systems.
Research Focus
Key Achievements
Top Papers
- 1