Imagine a robot that learns to move by watching you, much like a child does. Instead of following rigid code, it uses a digital brain that mimics how human neurons work to understand its own body and the people around it. This allows the robot to act as a smart coach that adjusts its movements in real-time to help patients recover from strokes.
Current personal robots lack the autonomy and adaptability to handle unpredictable human behaviors and environments. This makes them impractical for complex tasks like medical rehabilitation without constant human intervention.
A bio-inspired cognitive architecture and physical prototypes (neuromorphic iCub and Kangaroo) featuring SpiNNaker2 chips and advanced tactile sensory modules.
If you are a clinic dealing with the high cost of manual stroke rehabilitation — this project developed neuromorphic humanoid prototypes that act as tutors. These robots monitor and autonomously adapt interactions to the patient's level, reducing the constant need for one-on-one clinician supervision.
If you are a manufacturer dealing with robots that struggle in dynamic home environments — this project developed a bio-inspired cognitive architecture. This allows robots to predict changes from human actions and adapt their behavior, making them safer and more useful for personal services.
If you are a hardware company dealing with the high energy consumption of traditional AI — this project developed a PCB with SpiNNaker2 chips. This event-driven computing approach enables faster, energy-efficient processing for real-time robot learning.
Based on available project data, specific pricing or cost structures for the prototypes are not provided.
The project uses modular and flexible solutions across different platforms like iCub and Kangaroo, suggesting a path toward scaling for various personal robotics services.
Based on available project data, the specific licensing terms are not mentioned, though the project includes a work package for socio-economic roadmaps.
The project includes a dedicated work package (WP7) to address the ethical, legal, and social implications of using these robots in clinical environments.
The project period runs until 2027-12-31, with clinical pilot studies serving as the final validation phase.
The consortium is research-heavy with 5 universities and 1 research institute, but maintains a 25% industry presence through 2 SMEs. This balance suggests the project is focused on high-risk technical breakthroughs (neuromorphic engineering) while ensuring a path to market via the 2 industrial partners.
Contact Fondazione Istituto Italiano di Tecnologia
Contact us to connect with the PRIMI consortium for licensing neuromorphic robotics IP.
