Enabling Reasoning, Secure, and Resilient Autonomy for Heterogeneous Multi-Robot Fleet in Nuclear Domain
This NRC funded project aims to enable reasoning, secure, and resilient autonomy for heterogeneous multi-robot fleet (HMuRF) in dynamic and adversarial nuclear environments.

Toward Scalable, Certifiable Safe and Resilient Autonomy for Warehouse-Scale Robotic Systems

Attack-Resilient Reinforcement Learning for Heterogeneous Multi-Agent Systems
The goal of this research is to bring deep reinforcement learning techniques together with attack-resilient control design to improve the resilience of heterogeneous multi-agent systems with completely unknown dynamics under malicious attacks in complex dynamic environments.

Resilient Control Lyapunov Function-based Quadratic Program for Quadrotors Under Cyberattacks
The goal of this research is to ensure the operational safety and resilience of quadrotors under partial actuator failures, lumped external disturbances, and malicious cyberattacks.

Privacy-Preserving, Safety-Aware, and Attack-Resilient Distributed Cooperative Control in AC Microgrids Against Exponentially Unbounded FDI Attacks

Deep Learning-enabled YOLOv8-based perception module under our projects of 'AI-Powered Fully Autonomous Flagger Assistance Device (AFAD) for Work Zone Safety' and 'AI-Powered Conflict Detection and Signal Optimization for Right-Turn FYAs in Mixed-Modal Intersections'.
Event-Driven Safe and Resilient Control of Automated and Human-Driven
Vehicles under EU-FDI Attacks
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