Poster — Robust MARL for Small UAS Separation Assurance under GPS Degradation & Spoofing
↳ ACC 2026 Workshop on Autonomy in Transportation: Emerging Challenges in Multi-Agent Planning and Control · New Orleans, Louisiana, USA
Presented our robust multi-agent reinforcement learning approach for sUAS separation assurance under GPS degradation and spoofing at the ACC 2026 Autonomy in Transportation workshop.
// about this talk
I presented a poster at the ACC 2026 Workshop on Autonomy in Transportation: Emerging Challenges in Multi-Agent Planning and Control, held on the Workshop Day of the American Control Conference (ACC 2026) in New Orleans, Louisiana.
The poster covered our robust Multi-Agent Reinforcement Learning framework for real-time separation assurance and tactical deconfliction of small Unmanned Aerial Systems under GPS degradation and spoofing — casting state-observation corruption as a zero-sum game and deriving a closed-form adversarial perturbation for a robust counter-policy.
📄 See the corresponding paper on the Publications page, or view the poster.