HAT is a cross-disciplinary research initiative advancing the science and practice of human-autonomy teaming in next-generation vehicles. As AI increasingly takes the wheel—in autonomous ground vehicles, drones, and aerial systems—this project explores how humans and intelligent systems can collaborate safely, ethically, and effectively in high-stakes, real-world environments.
By focusing on trust, shared decision-making, and adaptive autonomy, HAT aims to ensure that the future of mobility is not only intelligent, but aligned with human values and resilient to failure.
🔍 Project Vision
- Design adaptive, human-aware AI systems that function as cooperative teammates in complex vehicle environments
- Advance AI safety and reliability through interpretable models, robust failover strategies, and uncertainty-aware decision frameworks
- Embed ethical principles in autonomy design—ensuring transparency, accountability, and fairness in human-machine interaction
- Foster trust calibration and situational awareness through shared perception, intent recognition, and interactive interfaces
- Support dual-use technologies for public, commercial, and defense applications in intelligent transportation
🚗 Application Domains
- Autonomous vehicles in contested or dynamic environments
- Human-AI teaming in military mobility and tactical ground vehicles
- Urban air mobility systems (eVTOL, drones)
- AI-augmented driver assistance and mission planning systems
- Intelligent logistics, first responder coordination, and disaster recovery operations
🤝 Why HAT Matters
As autonomy moves from isolated pilots to embedded teammates, success depends on the quality of human-machine collaboration. HAT is designed to answer urgent questions:
How do we build AI that can work safely with humans, under stress, uncertainty, and evolving missions? How do we ensure these systems are accountable, explainable, and trustworthy?
By integrating research in AI ethics, human factors, cognitive engineering, and machine learning, HAT is shaping the future of intelligent mobility—grounded in safety, equity, and human-centered design.