This project aims to develop a new device of measurement and follow-up of the temperature in tools at the time of machining in severe conditions strong added value material. It will be a particular question of carrying out a transfer technology between the university laboratories implied in this project and ACTARUS [Part. 2] company concerned with this sphere of activity. This transfer will directly be applied on composite parts machining with the SLCA [Part. 3] company. The mechanical behavior of materials with respect to the requests to which they are subjected at the time of their use depends mainly on the choices adopted at the time of their implementation. Technological solutions exist to minimize the thermomechanical constraints at the time of matter removal and thus to preserve the integrity of machined material. Indeed, the processes of machining very high speed (UTGV), the coatings of tool and it micro lubrication are as many solutions which make it possible to minimize the heat sources terms relating to the tribological phenomena the level of the interfaces tool - matter. Nevertheless, each one of these solutions must be adapted to the configuration of machining met (couple tool - matter) and, on the other hand, difficult to implement in the framework of composite material machining. The numeric digital codes of thermomechanical simulation of the cut developed since ten years are very powerful but cannot be used in the objective to follow and control machining in real time. Company ACTARUS is specialized in the development and the marketing of technologies, products and services associated for control with machining in real time, which implements the patented system of measurement uninterrupted of the temperature of cut in machining. It developed tools equipped with thermal sensors which make it possible to follow the change of the temperature in points very close to the zone of cut. This single device was established on various factories site (CEA, MECACHROME, PSA, PCI, MONTUPET...). To have a more precise knowledge of the energy balance of the cut, the TREFLE [Part. 1] and the IMS [Part. 5] have developed for a few years a new methodology which consists in estimating the heat flux applied to the tool by inverse method. This approach requires on the one hand the temperature measurement in one or more points in the tool and on the other hand the development of a model binding the heat flux to the temperature in the tool. The complexity of the tools used nowadays in the industrial sector (presence of a coating, geometrical configuration of the tool...) led us to establish this model by system identification. Our project first of all consists in applying the methodology developed by the TREFLE and the IMS to the devices of follow-up and control in machining marketed by company ACTARUS. Direct applications are then envisaged within the SLCA company concerning the machining of composite materials in severe conditions. A second aspect of our project is to carry out a characterization bench of the tool where the rise in temperature reached at a peak of tool will be of the same order of magnitude as that met during machining (a few hundreds of degrees). For the achievement of this second objective, the LNE [Part. 4] will place at the disposal its competences in the field of the metrology of the lasers of power.

The main objective of the RoboCom++ proposal is to lay the foundation for a future global interdisciplinary research programme (e.g., a FET-Flagship project) on a new science-based transformative Robotics, to be launched by the end of the H2020 Programme. RoboCom++ will gather the community and organise the knowledge necessary to rethink the design principles and fabrication technologies of future robots. RoboCom++ will aim at developing the cooperative robots (or Companion Robots) of the year 2030, by fostering a deeply multidisciplinary, transnational and federated effort. The mechatronic paradigm adopted today, although successful, may prevent a wider use of robotic systems. For example, system complexity increases with functions, leading to more than linearly increasing costs and power usage and decreasing robustness. RoboCom++ will pursue a radically new design paradigm, grounded in the scientific studies of intelligence in nature. This approach will allow achieving complex functionalities in a new bodyware with limited use of computing resources, mass and energy, with the aim of exploiting compliance instead of fighting it. Simplification mechanisms will be based on the concepts of embodied intelligence, morphological computation, simplexity, and evolutionary and developmental approaches. Exploring these concepts in order to develop new scientific knowledge and new robots that can effectively negotiate natural environments, better interact with human beings, and provide services and support in a variety of real-world, real-life activities, requires a coordinated and federated initiative. Ultimately, the Companion Robots conceived in RoboCom++ may foster a new wave of economic growth in Europe by boosting the deployment of ubiquitous robots and web-based robotic services. The RoboCom++ community will pursue these ambitious objectives by cooperating along three main lines of action: 1) building the community and the tools for research reproducibility (benchmarks, metrics, data sharing protocols, test platforms, standards); 2) proof-of-concept research pilots; and 3) defining the long-term S&T roadmap, competitiveness strategy, governing and financing structure, and the ethical, legal, economic and social framework of a future FET Flagship –like initiative on Robotics . RoboCom++ will actively pursue collaboration with industry, along with dissemination, community outreach and participation of EU citizens and stakeholders, with particular attention to the issue of robots and jobs, and to the analysis and proposition of viable policy options.

Qu-Test is a partnership of European testbeds for quantum technology, which is composed of distributed infrastructures with globally unique equipment and competencies across Europe. The goal of the partnership is to provide European industry with the necessary support in terms of infrastructure and know-how to move faster to the market and create a robust supply chain for the quantum technology market. The partnership is aligned along three testbeds: quantum computing, quantum communication, quantum sensing. In more detail, the Quantum Computing Testbed will measure, characterise and validate cryogenic quantum devices, cryogenic qubits such as superconducting and semiconducting qubits, photonics qubits and ion traps provided by European industry, with an increasing service maturity and targeting larger quantum processors during the course of the FPA. The Quantum Communication Testbed will characterise devices for Quantum Key Distribution (QKD) and Quantum Random Number Generation (QRNG) and provide design and prototyping services to support innovation in the supply chain of quantum communication technologies. Finally, the Quantum Sensing Testbed will benchmark sensing and metrology instruments provided by industry and use a large suite of quantum sensors (clocks, gravimeters, magnetometers, imagers) to validate industrial use cases aiming at generating new business cases for quantum sensing and metrology devices. The three testbeds will be coordinated by a Single Entry Point (SEP) that will receive the requests of industry and direct them efficiently to the right testbed infrastructure. With additional services of IPR support, business coaching and innovation management, Qu-Test supports the European quantum industry with a holistic one-stop-shop to move the full ecosystem forward.

MISEL aims at bringing artificial intelligence to the edge computing (decisions made on-device) through a low-power bio-inspired vision system with multi-spectral sensing and in sensor spatio-temporal neuromorphic processing based on complex events. The science-to-technology breakthrough is the heterogeneous integration of a neuromorphic computing scheme featuring three different abstraction levels (cellular, cerebellar and cortex processors) with high-density memory arrays and adaptive photodetector technology for fast operation and energy efficiency. The context-aware, low power and distributed computation paradigm supported by MISEL is promising alternative to the current approach relying on massive-data transfers and large computational resources, e.g., workstations or cloud servers. This answers to the challenges and related scope presented in the Work Programme towards "more complex, brain mimicking low power systems" "exploiting a wider range of biological principles from the hardware level up" by introducing the human eye like adaptivity with cellular processor and the data fusion, learning, reasoning, and “conscious” decisions performed by the cortex. The stand-alone system fabricated in MISEL will be tested on timely and challenging applications such as distinguishing birds from drones through their spatio-temporal flying signature, and scene anomaly detection from a mobile platform. From the technology development and industrialization point of view, MISEL includes the whole value chain: materials research for back-end of line (BEOL) processing-compatible densely-packed ferroelectric non-volatile memories (FeRAMs) and intensity adaptive photodetectors, novel neuromorphic computing algorithms and circuit implementations, and system level benchmarking. This is all in line with the challenge and scope of "outperforming conventional SoA with relevant metric" and benchmarking "challenging end-to-end scenarios of use" for industrial adaptation.

The environmental impact of packaging has become a major concern for the food industries, packaging, safety agencies but also consumers. This circular economy will force manufacturers to lighten packaging, recycle and/or reuse it, which implies having the same requirements in terms of health safety as for virgin materials. Indeed, materials in contact with foodstuffs (FCM) can transfer constituents to food by migration. In addition to substances of known origin, FCMs can also contain Non-Intentional Substances (NIS) (impurities, decomposition or reaction products, contaminants resulting from recycling, etc.), often of unknown and unpredictable origin. Most SNIs are neither identified nor quantified, and their toxicity has not been studied. This migration can pose a risk to human health, it must be measured and controlled. European Regulation 10/2011 on plastic materials also requires a risk assessment of SNIs, but to date there is no specific guideline or scientific consensus, making it difficult to assess and manage their risks. In addition, SNIs can be present in all packaging; recycled paper-cardboard, coatings, these can release more substances than their virgin equivalent. The evaluation of MCDA is currently only based on a study of the genotoxicity and the systemic effects of the starting substances, not taking into account endocrine disruption, nor the "cocktail effects" at low dose. Regarding SNI, it is recognized that the traditional approach based on the identification and quantification of all substances followed by their full toxicological characterization is not feasible (in terms of costs, time, quantity available, etc.). A relevant approach consists in using biotests in addition to analytical and physicochemical techniques on all of the substances which migrate. Biotests are already used with mixtures. However, they need to be better characterized in terms of sensitivity / specificity and robustness with complex extracts of MCDA. The first stage of this project will consist in selecting the most sensitive and specific biotests to identify a hazard (genotoxicity or endocrine disruptor) in packaging extracts by applying the “spiking” methodology, which consists of adding reference substances ( positive and negative) in order to verify the expected response. The extract will be split if the answer is a false negative or a false positive, in order to identify the responsible fraction containing the substances causing the unexpected effect. The second step will consist of testing the selected biotests using extracts from finished packaging that have been subjected to particularly SNI-generating processes (including recycled materials) to assess the risk. The innovative nature of this project is to use in parallel, chemical signatures of MCDA extracts and robust biotests in order to generate a database allowing decision-making and packaging security at different stages of their cycle of production life. In addition, it will generate data on the toxicity of new SNIs as well as potential "mixing" effects of the extract. Resulting from a multidisciplinary scientific approach, this project will help packaging manufacturers and their customers (processors, food industries) (1) to better guarantee the safety and conformity of their materials and (2) to encourage their innovation and / or their competitiveness, by offering them relevant and reliable scientific tools.