Nora Ayanian Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
John Brown University
faculty
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Biography and Research Information
OverviewAI-generated summary
Dr. Nora Ayanian's research at John Brown University encompasses robotic path planning algorithms, distributed control of multi-agent systems, and swarm intelligence. Her work addresses optimization and search problems within modular robotics and sensor-based localization. Ayanian's recent contributions include the development of "RLSS," a real-time, decentralized, cooperative, networkless multi-robot trajectory planning method employing linear spatial separations, and "MAPFAST," a deep algorithm selector for multi-agent pathfinding using shortest path embeddings. Other projects involve hierarchical task assignment and pathfinding with limited communication for robot swarms, as well as subdimensional expansion and optimal task reassignment strategies. Additionally, Ayanian contributed to the creation of "FireFly," a synthetic dataset designed for ember detection in wildfires.
Her primary research focus is on advancing robotic systems through improved path planning and multi-agent coordination.
Metrics
- h-index: 24
- Publications: 93
- Citations: 2,474
Selected Publications
- Anisotropic Diffusion-Driven Ergodic Coverage in Multi-Robot Systems (2025) DOI
- Downwash Dynamics: Impact of Separation on Forces, Moments, and Velocities for Dense Quadrotor Flight (2024) DOI
- Map Connectivity and Empirical Hardness of Grid-based Multi-Agent Pathfinding Problem (2024) DOI
- FireFly: A Synthetic Dataset for Ember Detection in Wildfire (2023) DOI
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