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  • Neurocognition and ­Action - Biomechanics

    Campus der Universität Bielefeld
    Campus der Universität Bielefeld
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Project Coordinators

Prof. Dr. Alessandro Di Nuovo (Sheffield Hallam University; Project Scientific Coordinator)

Prof. Dr. Thomas Schack (Bielefeld University; Principal Investigator)

Responsible Investigators (NCA)

Dr. Benjamin Strenge

Miguel Cienfuegos, M.Sc.

Jonas Kämpfer, M.Sc.

 

Sponsored by

Direct Project Partners

SHEFFIELD HALLAM UNIVERSITY, UK
© SHEFFIELD HALLAM UNIVERSITY
FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA (IIT), IT
© FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA (IIT)
TECHNISCHE UNIVERSITAET DRESDEN, DE
© TECHNISCHE UNIVERSITAET DRESDEN
Logo UNIVERSITA DEGLI STUDI DI FERRARA, IT
© UNIVERSITA DEGLI STUDI DI FERRARA
PAL ROBOTICS SL, ES
© PAL ROBOTICS SL
SPINNCLOUD SYSTEMS GMBH, DE
© SPINNCLOUD SYSTEMS GMBH
THE UNIVERSITY OF MANCHESTER, UK
© THE UNIVERSITY OF MANCHESTER

Associated Project Partners

Logo Bodelschwinghsche Stiftungen Bethel
© Bodelschwinghsche Stiftungen Bethel

PRIMI - Performance in Robots Interaction via Mental Imagery

Project duration: 11/2023 – 12/2027
Project funding (total): 4,973,684 Euro
Project funding (NCA): 949,538 Euro

Neuromorphic iCub Robot
© PRIMI Consortium

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.

Related Publications

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