HARIA re-defines the nature of physical human-robot interaction (HRI), laying the foundations of a new research field, i.e., human sensorimotor augmentation, whose constitutive elements are: i) AI-powered wearable and grounded supernumerary robotic limbs and wearable sensorimotor interfaces; ii) methods for augmentation enabling users to directly control and feel the extra limbs exploiting the redundancy of the human sensorimotor system through wearable interfaces; iii) clear target populations, i.e., chronic stroke and spinal cord injured individuals, and real-world application scenarios to demonstrate the extraordinary value of the paradigm shift that HARIA represents in HRI and the great impact on the motivation to re-use the paretic arm(s), with consequent improvement of the quality of life. Supernumerary limbs will be partially controlled by artificial intelligence, and partially under the direct control of the human who gains the agency of some motion parameters of the supernumerary limbs. From the control point of view, it is fundamental to find the right trade-off between motion task parameters that are controlled by the user, and the level of robot autonomy. This interplay is enabled by the wearable sensorimotor interface that establishes a connection between the human sensorimotor system and the system of actuators and sensors of the robot, allowing reciprocal awareness, trustworthiness and mutual understanding. HARIA finds its natural application in assisting people with uni- or bi-lateral upper limbs chronic motor disabilities. Technology and methodology developments will follow a user-centered design approach, as only patients with disabilities are fully aware of their real (still unmet) needs in real life activities. This project will also go beyond the application to health, starting a new era of intuitive and seamless human-robot augmentation by wearable sensorimotor interfaces and supernumerary limbs.

INPUT will strive to make the control of complex upper limb prostheses simple, natural and to be used on a daily basis by amputees effortlessly after donning -"don and play". Currently, the most advanced routine prosthetic control on the market is more than 4 decades old, outdated and constitutes the bottle neck to introducing highly dexterous prostheses. The project builds on achievements reached in the EU FP7 IAPP projects AMYO (Grant No. 251555, 2011-2014) and MYOSENS (Grant No. 286208, 2012-2015), which were targeting improved signal acquisition and signal processing for advanced upper limb prosthetic control. The projects were very successful and received high recognitions national and international recognitions. In INPUT, the main goal will be to transfer the obtained results from laboratory settings further towards a clinically and commercially viable medical product. The enabling concepts on which INPUT builds upon are: - Reliable, easy to apply, cost-effective signal acquisition - Reliable, powerful real-time signal processing - Quantifying true patient benefit - Optimized end-user training - Iterative clinical tests throughout the entire project In order to keep a realistic focus, the project will rely on well-known principles of advanced prosthesis control. Existing upper limb prosthetic hardware will be reused to minimize development time and costs. Improved electronics, algorithms and training will be the main innovations. INPUT will build on frequent end-user testing with amputees throughout the entire project. These will ensure targeted prototype development and market viability for advancing the technology from laboratory conditions to a high technology readiness level (TRL) of 8. The project relies on the cooperation between academic research, industry and clinical partners - thus representing the entire value chain of cutting edge upper limb prosthetics. This will ensure the development of stable, wearable and practical prototypes.

In the LIV:IN project, major industry leaders from the ICT sector join forces to co-create more responsible approaches to innovation for the first time. LIV:IN builds on the premise that recognition of the value of RRI among industry is necessary for achieving the aim of the call “to progress further in integrating RRI in industrial contexts”. The project follows an opportunity oriented approach in order to (1) activate industry leaders, experts and citizens to experiment with responsible ways of co-creating innovations; (2) build capacity for RRI implementation and develop tools that are applicable across industry sectors; and (3) transform attitudes towards RRI from risk to opportunity. LIV:IN will demonstrate the added value of RRI in the area of smart future living. We carefully selected this application area because it directly impacts the lives of citizens (societal relevance) but also constitutes a major emerging market (business opportunity). The project includes four key features that will significantly enhance the quality of the proposed coordination and support activities. First, six LIV:IN Labs and a virtual community of practice will constitute the central spaces for experimentation with integrating RRI in industry, and, consequently, the development of new approaches to innovation. Second, the application and continuous improvement of RRI tools in these spaces will contribute to capacity-building among industry and citizens alike. Third, embedded audio-visual story-telling will be the main vehicle for disseminating results and for shifting attitudes towards RRI from risk to opportunity. Finally, continuous dialogue with earlier and present initiatives in the areas of RRI, CSR and open innovation will ensure the transferability of project results across industry sectors. Ultimately, LIV:IN is guided by its vision to become a flagship initiative for effective integration of RRI in industry.