Project description
Advancing Robots’ Autonomy and Physical Performance for Interaction and Rehabilitation
The next-generation personal robots will possess cognitive and motor intelligence that can enhance human interaction. However, the current AI and robotics paradigms require additional resources to achieve performance and reasoning abilities similar to those of humans. The EU-funded PRIMI project integrates research from neurophysiology, psychology and machine intelligence to formulate models for higher-order cognitive capabilities. The aim is to usher in a new era of autonomous technologies that exhibit enhanced precision, speed and safety in real-time learning and adaptation processes. PRIMI envisions a transformative impact on AI and robotics, accomplished by the development of socially interactive autonomous robots. To validate this vision, prototypes of neuromorphic humanoid robots will undergo clinical pilot studies focusing on stroke rehabilitation.
Objective
The next generation of personal robotic systems needs to reach a level of cognition and motor intelligence that provides autonomy in any environment, effective interaction with humans, and adaptation of their actions to a broad range of open, dynamic situations. Robots are expected to be able to predict perceptual and functional changes that result from human actions and replicate human activities taking into consideration their own capabilities and limitations.
The required human-like physical performance and reasoning cannot be achieved with the mainstream AI and robotics paradigms, because they are missing the required co-design of body (robot) and mind (AI) and are based on inefficient computing and sensing resources that cannot be scaled up to the required level.
To go beyond what is currently possible, PRIMI will synergistically combine research and development in neurophysiology, psychology, machine intelligence, cognitive mechatronics, neuromorphic engineering, and humanoid robotics to build developmental models of higher-cognition abilities – mental imagery, abstract reasoning, and theory of mind – boosted by energy-efficient event-driven computing and sensing. It will produce a new unifying concept for the next generation of autonomous interaction technologies, capable of more autonomous, faster, safer, and precise interaction with real-time learning and adaptation, thanks to the integration of the capabilities to mentally represent themselves, the physical and social worlds, resemble experiences and simulate actions.
PRIMI’s ambition is to induce a paradigm shift in AI and robotics to create truly autonomous socially interactive robots, which will offer new technological perspectives for transforming personal robotic services.
As a proof-of-principle of the technological advancement in a relevant scenario, prototypes of neuromorphic humanoid robots will be validated in clinical pilot studies of robot-led physical rehabilitation of stroke survivors.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics cognitive robots
- medical and health sciences clinical medicine physiotherapy
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics autonomous robots
- engineering and technology mechanical engineering mechatronics
- medical and health sciences basic medicine neurology stroke
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.4 - Digital, Industry and Space
MAIN PROGRAMME
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HORIZON.2.4.5 - Artificial Intelligence and Robotics
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-RIA - HORIZON Research and Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-CL4-2022-DIGITAL-EMERGING-02
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
16163 GENOVA
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.