2026 AIAA SciTech

AVIA Lab students and collaborators presented their work in autonomy, reinforcement learning, multi-agent systems, energy-aware flight, and AAM operations at 2026 AIAA SciTech in Orlando, FL.

Work Presented:

• A Decision-Making Framework for Autonomous Aerial Vehicles in Responding to GPS Loss. Liang Sun, Ryan Prell, Reagan Rubio, Joseph Soughtout and Natnael M. Negash. See more.
• Advanced Air Mobility Infrastructure With Expeditionary Landing Surfaces for eVTOL Aircraft. Hannah E. Wilhelms, Liang Sun, J. Brian Jordan, Paul G. Allison, Timothy W. Rushing and Abby R. Cisko. See more.
• A High-Fidelity 3D Simulation Environment for Multi-Aircraft Operations. Timothy Bautista, Fengyu Wang, Advika Govindarajan, Liang Sun, Jing Chen, Bin Hu, Michael S. Politowicz and Eric T. Chancey. See more.
• Path Planning and Tension Control Using Reinforcement Learning for Airborne Wind Energy Systems. Robert A. Selje, Hexuan Wang, Liang Sun, Yufei Zhu and Taewoo Nam. See more.
• Deep Reinforcement Learning for Energy-Aware Path Planning of Multicopters in 3D Dynamic Environments. Sofia Aranda Rocha, Natnael Negash and Liang Sun. See more.
• Parameter Estimation for Flight Energy Consumption Models using Kalman Filtering. Sergio Calderon Ochoa, Natnael M. Negash and Liang Sun. See more.
• Multi-Agent Path Planning Using Proximal Policy Optimization With Experience Sharing. Yanghe Yan, Liang Sun and Paul Ro. See more.
• Urban Air Mobility Flight Demand Modeling for Airports in New York City. Kamal Acharya, Katherine Vasiloff, Zhenbo Wang, Houbing Song and Liang Sun. See more.
• Synergistic Skies: Evolutionary Multi-Objective Optimization for eVTOL Dispatching and Charging in Advanced Air Mobility. Natnael M. Negash and Liang Sun. See more.