Imagine having an extra robotic arm or finger that you can control just by moving your body or flexing a muscle. It's like adding a smart tool to your body that feels and reacts as if it were part of you. This tech helps people who have lost arm function, like after a stroke, to regain independence in their daily lives.
People with upper-limb disabilities often struggle with daily tasks and lack the motivation to use paretic limbs. Current robotic aids are often too rigid or lack the intuitive feel required for natural movement.
Integrated wearable fingers, collaborative grippers, grounded arms, and a dual-arm system, all controlled via wearable sensorimotor interfaces.
If you are an assistive robotics manufacturer dealing with low user adoption of prosthetics — this project developed wearable sensorimotor interfaces that allow users to directly control and feel extra limbs. This increases the motivation for chronic stroke patients to reuse paretic arms.
If you are a rehabilitation center dealing with slow recovery rates for spinal cord injured patients — this project developed AI-powered supernumerary limbs that assist in complex manipulation tasks. This improves the quality of life and functional independence of the patient.
If you are a cobot developer dealing with rigid human-robot interaction in assembly — this project developed a system for reciprocal awareness and mutual understanding between humans and robotic limbs. This allows for a seamless blend of human control and robot autonomy.
Based on available project data, specific pricing or cost structures for the devices are not provided.
Yes, the project aims to go beyond health applications to create intuitive human-robot augmentation, which has potential applications in industrial settings.
Based on available project data, there is no specific information regarding patents or licensing agreements.
Integration is achieved through wearable sensorimotor interfaces that capture body motion or muscle activation and map them to robot commands.
The project period runs from 2022-10-01 to 2026-09-30, suggesting the technology is currently in the development and testing phase.
The consortium is heavily research-driven, consisting of 10 partners across 6 countries. With 4 universities and 3 research institutions, the academic weight is high, though it maintains a 20% industry ratio with 2 industrial partners and 1 SME, ensuring that the development of the 14 deliverables remains grounded in practical application.
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