Commercial indoor spaces such as hospitals, hotels, offices offer great potential for commercial exploitation of logistic robotics. Also, offer advantages for their deployment, since they are required by law to meet stringent building codes, and therefore the navigation space exhibits some structure. In addition, they offer reliable communications infrastructure, since this is required for normal business operation. Thus, commercial spaces are rightfully considered the next great field of logistic robotics deployment. Despite these advantages, today, few solutions exist, and these solutions do not trigger widespread acceptance by the market. This is because existing systems require costly infrastructure installation (arrays of peripheral sensors, mapping, etc.); they do not easily integrate to corporate IT solutions and as a result, they do not fully automate procedures and traceability; they are limited to a single type of service, i.e. transfer of goods. Through transfer of knowledge, multidisciplinary research and cross-fertilization between academia and industry, ENDORSE will address the aforementioned technical hurdles. Four innovation pillars will be pursued: (i) infrastructure-less multi-robot navigation, i.e. minimum (if any) installation of sensors and communications buses inside the building for the localization of robots, targets and docking stations; (ii) advanced HRI for resolving deadlocks and achieving efficient sharing of space resources in crowded spaces; (iii) deployment of the ENDORSE software as a cloud-based service facilitating its integration with corporate software solutions such as ERP, CRM, etc.; (iv) reconfigurable and modular hardware architectures so that diverse modules can be easily swapped. The latter will be demonstrated and validated by the integration of an e-diagnostic support module (equipped with non-invasive sensors/devices) and the Electronic Health Records (EHR) interfacing, which will serve as an e-diagnostic mobile station

GrowMeUp’s main aim is to increase the years of independent and active living, and the quality of life of older persons (age of 65+) with light physical or mental health problems who live alone at home and can find pleasure and relief in getting support or stimulation to carry out their daily activities over the ageing process. GrowMeUp will provide an affordable service robotic system able to learn the older persons needs and habits over time and enhance (‘grow up’/scale up) its functionality to compensate for the elder’s degradation of abilities, to support, encourage and engage the older persons to stay longer active, independent and socially involved, in carrying out their daily life at home. State of the art cloud computing technologies and machine learning mechanisms will be used, enabling the GrowMeUp robot to extend and increase its knowledge continuously over time. Robots will share and distribute their knowledge through the cloud, so that other “connected” robots can learn from each other's experience, increasing thus their functionality/competencies and simultaneously reduce learning effort. Implicit daily activities support will be provided in a human like way characterized by behaviour and emotional understanding, intelligent dialoguing and personalized services provision. GrowMeUp will be introduced early enough to the elder person, creating thus a positive long-term relationship between the elder and the robot, considering persons as active collaborators with whom the robot can interact, so as to increase its knowledge about their personalized needs. Furthermore, the robot will be connected to a virtual care network that will provide for continuous care, but also motivation and education to the older persons of how to best use the platform. A group of relevant stakeholders will use the system over a nine month pilot period. The goal is to achieve global leadership in advanced solutions supporting active and healthy ageing.