About the project
The systems will be aware and alert for how to best act given their knowledge about themselves and perception of their environment. Humans anticipate future events more effectively than computers. We combine sensing across multiple modalities with learned knowledge to predict outcomes and choose the best actions. Can we transfer these skills to intelligent systems in human-interactive scenarios?
Artificial intelligence meets cognitive neuropsychology
In PIRC, we will apply our machine learning and robotics expertise, and collaborate with researchers in cognitive psychology. The goal is to apply recent models of human prediction and intuitive action on perception-action loops of future intelligent robot companions.
Our work will allow such robots to adapt and act more seamlessly with their environment than the current technology. We will equip the robots with these new skills and in addition, provide them with the knowledge that users they are interacting with, apply the same mechanisms. This will include mechanisms for adaptive response time from quick and intuitive to slower and well-reasoned. The models will be applied in two robotics applications with potential for very wide impact: physical rehabilitation and home care robot support for older people.
See more information and ROBIN student master projects here.
.jpg)
