ChArGED addresses the energy consumption in public buildings and proposes a framework that aims to facilitate achieving greater energy efficiency and reductions of wasted energy in public buildings. The framework leverages IoT enabled, low-cost devices (NFC or iBeacons) to improve energy disaggregation mechanisms that provide energy use and (consequently) wastages at the device, area and end user level. These wastages will be targeted by a gamified application that feeds personalized real-time recommendations to each individual end user. The design of the game will follow a cleanweb approach and implement a novel social innovation process that will be designed based on human inceptives factors and will help users to understand the environmental implications of their actions and adopt a more green, active and responsible behaviour. The blend of social interaction and competitions with its personalized character are expected to eventually contribute to the user engagement and commitment to generate savings in the long term leading to tackle energy efficiency targets in public buildings while emphasizing on cost effectiveness. Furthermore, users will become more educated on energy efficiency actions and their impacts which has an impact beyond the actual public building. Efficient energy use will render its consumption predictable and this will be exploited by the ChArGED gamified application to optimize use of the micro-generated energy. Users will be motived to reduce energy consumption when power comes from the grid. Predictable energy consumption will also support more informed decisions of micro-generation sources to match the use patterns. The ChArGED solution will be developed with iterative end users representatives’ engagement during analysis, design and development. Further users at least 150 real building occupants in three (3) countries (50 in each building- validation country) will be engaged for deployment and validation.

HORSE aims to bring a leap forward in the manufacturing industry proposing a new flexible model of smart factory involving collaboration of humans, robots, AGV’s (Autonomous Guided Vehicles) and machinery to realize industrial tasks in an efficient manner. HORSE proposes to foster technology deployment towards SMEs by developing a methodological and technical framework for easy adaptation of robotic solutions and by setting up infrastructures and environments that will act as clustering points for selected application areas in manufacturing and for product life cycle management (production and/or maintenance and/or product end of life). The main strategy builds on existing technology and research results in robotics and smart factories and integrates them in a coherent framework. The suitability of the resulting framework is not only driven by but will be validated with end-users - manufacturing companies- in two steps: In the first, the joint iterative development of the framework together with selected end-users will take place (Pilot Experiments). In the second, its suitability and transferability to further applications will be validated with new end users, which are recruited by an Open Call mechanism. The novel approaches of HORSE are the integration of concepts such as (physical) human-robot interaction, intuitive human-machine interfaces, and interaction between different robots and machines into an integrated environment with pre-existing machines and workflows. Safety of the human worker as well as reduction of health risks through physical support by the robotized equipment will contribute to better overall manufacturing processes. In these, pre-defined workflows to be customized are the basis for servitisation, for the entire value chain that allow rapid reconfiguration of the robots based collaborative production processes. HORSE aims to foster advanced manufacturing technology deployment by industries and especially SMEs.