The Joint Research Center on Cooperative and Cognition-enabled AI (CoAI JRC) strives to break new ground in the interaction between humans and artificial intelligence systems. Our primary objective is to equip AI systems – especially robots – with the ability to reason and communicate in ways that will let them coordinate their behavior with the interests and goals of their human partners, ultimately enabling them to accomplish novel joint tasks with, and for, humans.
We develop embodied AI that takes inspiration from human cooperative intelligence.
We strive for a better understanding of the intelligent capabilities humans exercise in cooperation so that we can replicate them in cognitive architectures that effectively guide robots in joint tasks.
We aim for AI-guided robotic systems that cooperate meaningfully with humans.
CoAI systems form their own understanding of what to do and how and align it with that of their human partners through communication and feedback. Such a system can explain what it is doing and why, leading to an entirely new level of transparency and trust.
We aim for AI that learns from humans the way humans learn from each other.
CoAI is able to seek out help from a human partner, or from sources designed to help humans learn (such as how-to videos or manuals), to fill in knowledge gaps and adapt to unfamiliar situations. Such a system can operate in quickly changing human environments without data-intensive prior training.