collaborators

5 papers

cs.RO2026

Remote ID Spoofing-Aware Trajectory Planning for Small Unmanned Aerial Systems

Jeremiah Webb, Bryce Bjorkman, Abel Diaz Gonzalez +7

This work presents a decentralized, spoofing-aware trajectory planning framework for small unmanned aerial systems operating under Remote Identification (RID) location spoofing att…

cs.LG2026

Safe Continual Reinforcement Learning in Non-stationary Environments

Austin Coursey, Abel Diaz-Gonzalez, Marcos Quinones-Grueiro +1

Reinforcement learning (RL) offers a compelling data-driven paradigm for synthesizing controllers for complex systems when accurate physical models are unavailable; however, most e…

cs.CR2026

A Survey of Security Challenges and Solutions for Advanced Air Mobility and eVTOL Aircraft

Mahyar Ghazanfari, Iman Sharifi, Peng Wei +25

This survey reviews the existing and envisioned security vulnerabilities and defense mechanisms relevant to Advanced Air Mobility (AAM) systems, with a focus on electric vertical t…

cs.CR2026

A Survey of Security Challenges and Solutions for UAS Traffic Management (UTM) and small Unmanned Aerial Systems (sUAS)

Iman Sharifi, Mahyar Ghazanfari, Abenezer Taye +25

The rapid growth of small Unmanned Aerial Systems (sUAS) for civil and commercial missions has intensified concerns about their resilience to cyber-security threats. Operating with…

cs.LG2025

On the Design of Safe Continual RL Methods for Control of Nonlinear Systems

Austin Coursey, Marcos Quinones-Grueiro, Gautam Biswas

Reinforcement learning (RL) algorithms have been successfully applied to control tasks associated with unmanned aerial vehicles and robotics. In recent years, safe RL has been prop…