The COMPASS project is driven by the needs to on the one hand increase the efficiency of recycling and remanufacturing processes (for sheet metal parts) and on the other hand by the need to find a solution for large quantities of thermoplastic fibre-reinforced components at their end of life. In both cases the proposed approach is to take a shortcut by remanufacturing the components at the level of sheet metal and composite panels instead of converting them to secondary raw material. This will be achieved through (thermo-)forming processes that allow the re-shaping of parts and components to give them a second and third life. These remanufacturing processes will be supported by a set of digital tools that build upon a digital component passport. The tools will enable efficient dismantling processes to extract sheets or panels e.g. from an aircraft and will help to collect relevant information about the components during their lifetime. The main use cases are from the aerospace and automotive sector and include key actors along the value chain. By using digital information about defects, re-work or repair done during the lifetime of the components. The quality of the resulting, remanufactured output parts will be optimized. A remanufacturing process planning software will also optimize the match between input components and targeted output parts. The COMPASS project will initiate more than 6M€ of private investments in technology development and implementation of remanufacturing process in the use cases investigated in the project. The overall goal is to enable the remanufacturing of about 30% of sheet metal parts and thermoplastic composite panels.

TORNADO will develop an innovative, multifunctional and adaptive cloud robotics platform, supporting advanced navigation of an autonomous mobile robot (AMR) within complex, time-varying, real-world, human-populated indoor environments. The TORNADO AMR will be able to manipulate small, soft or deformable objects (SSDs) to an unprecedented degree of success, as well as to naturally interact with humans via hand gestures or verbal conversation, by exploiting the zero-shot generalization abilities of deep neural Foundation Models (FMs) for robotics. The AMR's intelligence will rely on a pool of pretrained cloud-hosted FMs, which shall be further adjusted on-the-fly to the current situation via Out-of-Distribution Detection, Test-Time Adaptation and Few-Shot Adaptation subsystems. These will exploit human feedback if available, but will also support autonomous and dynamic cognitive adaptation. Additionally, the TORNADO system will be able to automatically select and set-up on-the-fly the most suitable combination of FMs and non-neural robotics algorithms during deployment, depending on the current situation. In cases of failure, on-the-fly skill acquisition will be supported via integrated, novel Learning-from-Demonstration methods facilitated by an innovative Augmented Reality (AR) interface and eXplainable AI (XAI) algorithms. The adaptive TORNADO system will allow the robot to perform difficult, non-repetitive manipulation tasks on previously unseen SSDs that may change shape during handling, as well as to flexibly adjust to SSDs of different sizes during operation. Measurement of human trust to interactive robots and human behavioral modeling will aid optimal integration/acceptance of TORNADO into society. Validation will take place at TRL-5 in 3 different industrial Use-Cases: flexible small gears manipulation and deformable ply-sheets handling (gears factory), palliative patient care (hospital) and product quality sampling/waste collection (dairy processing plant).

POLYMERS-5B aims to develop novel alternative biobased polymers synthesized from biobased monomers (diacids, diols, diamines, hydroxyacids, aminoacids, aromatic and phenolic compounds, fatty acids, oils, furans), sourced from underexploited second generation (2G) feedstocks such as agri/food waste (Tomato and Olive wastes) and biomass (wood pulp and lignin derivatives), obeying the food first and cascading principle. The project will resort to Biocatalysis and Green Chemistry processes to generate novel biobased polymers like polyesters and polyamides with pendent functional groups, (e.g., hydroxy, carboxylic, amine, epoxy, thiol, others), polyphenols and poly-furans, that mimic fossil-based polymers properties (e.g., polyethene terephthalate-PET, Polyurethanes-PUs, Acrylonitrile butadiene styrene-ABS, Amine and other polymeric resins), targeting improved biodegradability. These new polymers will be blended to provide valuable bio-composites and polymeric materials for the textile, automotive, furniture and polymeric resin markets. Machine Learning (ML) tools will drive the optimization of the developed technologies towards minimum resource usage “zero waste” and “zero pollution”, while technological, economic, and environmental sustainability aspects will be incorporated early in the design phase by adopting Sustainable by Design (SSbD) approaches. This sustainable strategy will contribute to an increase in the availability of monomers, bio-based polymers & plastic materials synthesized in the EU, that meet the Green Deal targets, reducing the carbon footprint and dependency on fossil-based raw materials and derivatives.

The objective of ATTRACTISS is to improve & embed competencies, approaches, instruments & governance models for Member States (MS) AKIS and specifically for Innovation Support Services (ISS) as a crucial AKIS actor, to enable them accelerating individual grassroots innovative ideas to come to fruition & to generate solutions for the transition process to more sustainable agriculture & forestry. ATTRACTISS has the goals to (1) empower ISS & all AKIS actors, through capacity building & provision of effective methods & supportive tools, to discover innovative ideas & enable uptake in a co-creative way thereby fostering AKIS ecosystem building to support the transition to sustainable and circular agriculture & forestry systems (2) support Managing Authorities (MA) in all EU MS to organise & monitor efficient support for ISS; & (3) provide support for new actors in AKIS processes to better facilitate co-creation approaches involving farming, practitioners & research centres. ATTRACTISS achieves these goals by (1) setting up an EU wide network for ISSs that allows to connect, develop common understanding, vision & capacities about their roles & functions within the AKIS. This ultimately leads to the development of an ecosystem in favor of Multi-Actor Approaches (MAA) & innovative projects; (2) building upon and giving continuity to other previous initiatives to focus on ISSs & broaden the networks; (3) systematizing the current databases & tools for ISSs to provide a unique virtual location for tools & guidelines to support best practice; (4) providing a step change in the provision of support & training for key actors in MAA & ISS across MS which builds knowledge, understanding & confidence in the practical delivery & benefits of these approaches; & (5) enabling institutional dialogue among ISSs & MAs based on enhanced understanding of the potential to organize ISS in a way that will lead to targeted CAP interventions for the integration of ISS within the AKIS.

GREEN-LOOP addresses novel bio-based materials solutions, tackling the problem from a circular-business thinking perspective, which will enable overcoming the barrier for new manufacture tools, energy efficiency improvements and sustainable value chains. The main goal of GREEN-LOOP is to design and optimise 3 innovative bio-based materials and components for industrial sectors: construction, packaging, food, beverage, appliances and tooling. 1) multifunctional panels rubber panels with fire resistance and vibrational applications, 2) bioplastic bottle closures for oil and fruit juice, 3) wood composites bearings for plastic injection machines. The value chain of each product is optimised from raw material source to End Of Life of products, ensuring the circular economy. All manufacturing lines are retrofitted to adapt to the new enhanced bio compoundings using Artificial Intelligence. Ultrasound improvement is included in the lignin production and rubber manufacture, and Microwaves improve preheating of bioplastic on injection moulding and curing of wood composites. The whole process is monitored and presented in a virtual platform that includes KPI evaluation, business optimization in real-time, training (webinars), and social engagement