Human Interaction with Autonomous Systems
The Human Interaction with Autonomous Systems program aims to create cognitively-compatible intelligent autonomous systems and robots that could serve as teammates with humans, enabling peer-to-peer collaboration among humans, robots, intelligent agents and autonomous systems. Such systems would reduce the cognitive burdens of interfaces with intelligent autonomous systems, enable supervisory control, and human training of robots and autonomous systems.
Research Concentration Areas
- Shipboard robotics and squad teammates
- Training robots for complex skills
- Communication and collaboration with embodied intelligent systems
Research Challenges and Opportunities
- Basic and applied research leading to the development of affordable humanoid robots capable of operating onboard ships and assisting with maintenance, inspection and fire-fighting
- Basic and applied research leading to the development of agile robotic squad teammates for hazardous urban operations, and search and rescue
- Basic research on training robots to perform complex manipulation skills and robot behaviors using multimodal machine learning, learning from demonstration and verbal instruction
- Basic research to create a principled framework for unifying low-level sensorimotor learning and high-level cognitive skill learning
- Natural language dialogue to facilitate collaboration with robotic and autonomous systems grounded in sensory context, task goals and shifting spatial frameworks
- Research that enables direct collaboration, cooperation and teaming between human and machines, including task and role negotiation, intent and plan recognition, and compliance and proactive assistance
Program Contact Information
Submit white papers, QUAD charts and full proposals for contracts to this email address: ONR Code 34 Research Submissions
Follow instructions within BAA for submission of grant proposals to grants.gov website.