Disaster Autonomous Aerial Response Technology

DAART (Disaster Autonomous Aerial Response Technology) is an advanced UAV autonomy framework for disaster response missions. It integrates state-of-the-art AI techniques to enable highly autonomous, resilient, and transparent multi-UAV operations in complex, dynamic environments. DAART combines adaptive multi-modal sensor fusion, deep learning-based semantic segmentation, hierarchical anomaly detection, decentralized swarm coordination, case-based reasoning for high-level decision making, reinforcement learning for navigation, and explainable AI for human-machine teaming. The sensor fusion module adaptively combines visual, thermal, LiDAR, and other sensor data to maintain robust situational awareness in degraded conditions. Semantic segmentation identifies mission-relevant objects while anomaly detection ensures reliable operation. Decentralized coordination enables scalable, fault-tolerant collaboration of UAV swarms. Sim-to-real transfer learning accelerates policy development for navigation in novel environments. Intuitive human-machine interfaces and explainable AI foster trust and effective intervention. DAART achieves unprecedented autonomy and resilience for UAVs in disaster response while meeting strict SWaP constraints. Phase I funding will support prototyping and feasibility demonstration in high-fidelity simulation. Our UAV autonomy architecture, SCOUT, which has been showcased to NASA stakeholders through demonstrations on operational UAVs in flight, and our aircraft Probabilistic Roadmap Path Planner, which plans aggressive, collision-free 3D routes in complex environments in close proximity with moving objects (useful in disaster management, public safety, and emergency response), demonstrate our proficiency in developing advanced UAV coordination systems, efficient and reliable perception and navigation solutions, robust anomaly detection algorithms, and intuitive human-machine interaction interfaces.

DAART directly supports NASA's Aeronautics Research Mission Directorate (ARMD) Strategic Thrusts 5 and 6, focusing on in-time system-wide safety assurance and assured autonomy for aviation transformation. The advanced autonomy capabilities provided by DAART align with ARMD's goal of developing intelligent machine systems capable of operating in complex environments, such as the integration of unmanned aircraft systems (UAS) and advanced air mobility (AAM) vehicles into the National Airspace System (NAS). DAART's adaptive sensor fusion and anomaly detection modules contribute to continuous system-wide safety awareness and safety risk identification, enabling real-time monitoring, diagnosis, and prediction of hazardous states. The decentralized coordination and case-based reasoning components support coordinated prevention, mitigation, and recovery strategies for dynamic, multi-agent planning and execution of risk-mitigating responses to hazardous events. DAART's modular architecture and emphasis on explainable AI facilitate the assurance, verification, and validation of autonomous systems, a key research theme under Strategic Thrust 6. The human-machine interaction module explores optimal human-autonomy teaming strategies, fostering trust and enabling effective human intervention in complex aviation systems. The proposed Phase I effort, focusing on prototyping and simulation-based testing, aligns with ARMD's research themes on integrated modeling, simulation, and testing, as well as the testing and evaluation of autonomous systems. DAART's ultimate goal of transitioning to real-world disaster response missions supports the implementation and integration of autonomous airspace and vehicle systems, paving the way for increased autonomy in aviation applications. DAART offers significant commercialization opportunities in various domains. The system's advanced autonomy capabilities make it well-suited for a wide range of industries and use cases where intelligent, resilient, and collaborative UAV operations are required. In the public safety and emergency response sector, DAART can be deployed to support search and rescue missions, firefighting operations, and disaster relief efforts. The system's ability to autonomously navigate complex environments, identify critical objects, and adapt to changing conditions can greatly enhance the efficiency and effectiveness of these missions while reducing risks to human personnel. The defense and security industry can leverage DAART for military reconnaissance, surveillance, and target acquisition (RSTA) missions, border patrol, and critical infrastructure protection. The system's decentralized coordination and anomaly detection capabilities enable robust and secure operations in contested or GPS-denied environments. In the industrial and energy sectors, DAART can be applied to tasks such as infrastructure inspection, asset monitoring, and predictive maintenance. UAV swarms equipped with DAART can autonomously survey pipelines, power grids, and offshore platforms, detecting anomalies and potential risks in real-time, thereby optimizing maintenance schedules and minimizing downtime. The agricultural industry can benefit from DAART's intelligent sensing and decision-making capabilities for precision agriculture applications, such as crop health monitoring, yield estimation, and targeted pesticide/fertilizer application. Other potential commercial applications include environmental monitoring, wildlife conservation, media/ entertainment (aerial cinematography), and logistics and delivery services. The modular and adaptable nature of DAART allows it to be customized and integrated into various existing UAV platforms and software ecosystems, further expanding market potential.

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