MAIA Multifunctional, adaptive and interactive AI system for Acting in multiple contexts (DUS.AD016.134)
Thematic area
Social sciences and humanities, cultural heritage
Project area
Cognizione naturale e artificiale: comunicazione, linguaggio, etica (DUS.AD016)Structure responsible for the research project
Institute of cognitive sciences and technologies (ISTC)
Project manager
IVILINPEEV STOIANOV
Phone number: 0498271826
Email: ivilinpeev.stoianov@cnr.it
Abstract
Deteriorated motor abilities due to stroke or accident represent a serious society challenge with missing adequate assistive technologies that are trustworthy, adaptive, interactive, i.e., intelligent. MAIA proposes a paradigm shift in which human-centric AI controls prosthetic and assistive devices. MAIA will investigate critical steps towards the rapid development of human-centric control: a radically novel intention decoder, a novel concept for trustworthy human-AI interactions, and new types of datasets. The AI technology will decode human intentions and communicate them to assistive devices and to the users to ensure compliance and develop trust. The multifunctional human-centric AI controller will embed characteristics suitable for integration in robotic arms, wheelchair and exoskeletons using natural, fast and lean communication methods. MAIA's approach will be guided by real needs of patients and caregivers and by beyond state-of-the-art knowledge in the neuro-, cognitive, and social sciences. Potential applications across the healthcare, industry, and space exploration will stimulate the development of an European innovation ecosystem and innovative enterprises.
Goals
To design an adaptive, semi-autonomous and bi-directional interactive AI interface for intelligent actuators capable to implement desired actions in a transparent, efficient, and natural way that is acceptable and trustworthy to the user. (2) To decode action intentions from neural signals and behavioural data in various contexts including stationary and body-motion conditions using predictive coding approach. (3) To enhance quality of life and autonomy in patients that lost motor functions due to stroke, tumor surgery or accident. (4) To demonstrate the socio-technical, organizational, and ethical benefits of AI in health care and beyond.
Start date of activity
01/01/2021
Keywords
Artificial Intelligence, human-computer interactions, prosthetic devices
Last update: 16/06/2025