Andrew Lybarger
Papers
1
Total Citations
8
H-Index
1
About
Andrew Lybarger is a researcher whose work lies at the intersection of robotics, multi-agent systems, and distributed estimation. His primary contributions address the fundamental challenge of enabling teams of robots to operate cohesively without a central controller or external positioning infrastructure. In his most-cited work, "Aligning coordinate frames in multi-robot systems with relative sensing information" (2014), Lybarger introduced both centralized and distributed algorithms that allow robots to align their coordinate frames using only relative position measurements—critically, without needing to measure orientation directly. This approach is both robust to sensor error and computationally efficient, making it highly practical for real-world deployments in GPS-denied environments. While his citation count of 8 reflects a focused, technical audience, the work is notable for its theoretical rigor and direct applicability to swarm robotics and collaborative exploration. Lybarger’s research provides a foundational toolkit for engineers building scalable, resilient multi-robot systems, and his algorithms continue to inform modern approaches to distributed state estimation and cooperative localization.
Research Focus
Key Achievements
Top Papers
- 1