European Robotic goal-oriented autonomous COntroller (ERGO) The specific objective of ERGO is thaen to deliver the most advanced but flexible space autonomous framework/system suitable for single and/or collaborative space robotic means/missions (orbital and surface rovers) demanding robust operations with adaptable levels of autonomy. Due to the intrinsic similarities of addressed scenarios, especially for what concerns surface applications, ERGO has to be/and has been thought so to be applicable to terrestrial robotic applications requiring high level of autonomy. In order to achieve this challenging objective, the ERGO team has been settled such to guarantee strong background both in robotics in general and operational autonomous space robotic missions (GMV, ADS, SciSys), as well as state of the art expertise in goal oriented autonomy (GMV), planning (King College, University of Basel, GMV), guidance and navigation for robotic applications (GMV, ADS, SciSys), formal validation and verification (UGA-UGA), on-board critical software design and development (GMV, Ellidiss ).

Forests, cornerstone of the EU economy (42% of EU land) and source of multiple social and environmental benefits, need to be managed according to the sustainability principles as stated in EU Forest Strategy. However managers lack accurate / up-to-date data to support it. Traditional forest inventories characterize forests from the ecologic and dasometric perspective; but they are expensive and typically planned on a 5-10years basis. This periodicity is often much lower than required for planning forests´ commercial or recreational activities on the basis of these data. Forest change rates demand tools able to monitor, on annual basis, the forest extension, the attributes of available timber, or the different ecosystem services emerged. MySustainableForest aims to develop a pre-commercial service and platform for forest stakeholders, compliant with open and standard interfaces, to integrate Earth Observation into the forest stakeholders’ decision making processes and operations. It will be implemented on the basis of GMV prototyped service, eoForest and will leverage on partners’ expertise on LiDAR and forest modelling. It engages relevant European public and private forest stakeholders: RAIZ (R&D branch of The Navigator Company), Croatian Forest Research Institute, Mendel University in Brno, Forest Owners Association of Navarra and Lithuania, Centre Nationale de la Propriété Forestière, European Forest Institute, and 2 innovative SMEs (MADERA+ and Föra). Its added value will be demonstrated in 6 different bioclimatic zones from Portugal, Spain, France, Croatia, Czech Rep. and Lithuania, and across a variety of management protocols and forest usages. The economic viability of the service will be assessed and the associated business model validated. As a larger implication of MySustainableForest, it is expected that End-Users optimize their operations up to 10%, participating SMEs´ headcounts increase up to 20% and GMV market share in the sector is incremented up to 10%.

ADE (Autonomous DEcision making) objective is develop and test in a representative analogue a rover system suitable to increase data collection, perform autonomous long traverse surface exploration, guarantee fast reaction, mission reliability, and optimal exploitation of resources. ADE specific objectives (WP full coverage): - Autonomous long range navigation with high reliability. The ADE rover guidance receives a goal location. It is in charge of planning and executing a safe and efficient route to this goal. It locally re-plan to visit new local goals, enabling the ADE to seize scientific opportunities. - Consistent data detection / avoiding un-detection of interesting data. Interesting environmental features will be detected by the Opportunistic Science agents. ADE includes two instruments that will generate observation conflicts to be solved by ADAM. - Autonomous decision making capabilities (E4) in presence of conflicts. Key components of ADE is ADAM, Autonomous decision making Module. It is based on the tight integration/update of robotic technologies including the outputs of OG1-OG4. It will autonomously and safely modify the rover nominal plan in case of identification of interesting feature /environmental hazards in compliance with system constraints, on-board resources and temporal restrictions. - Demonstration in a representative environment. ADE will be tested in incremental manner till full representative analogue. Its components, ADAM and the ADE avionic, represent a step ahead in technologies applicable to multiple scenarios. The ADE demonstrator represents a breakthrough wrt the way rovers will explore unknown hostile environments, both in space and on Earth. OG10 will maintain OG2. - Dissemination/communication & Exploitation. Dedicated Plans are elaborated inc. direct consultation with stakeholders. - Collaboration/harmonization with other Call 2 OGs teams. Through the I/F Engineer. The ADE team is open to share developments in common element

The significance of migration as a social, political and broader public concern has intensified significantly. Migration is increasingly seen as a high-priority policy issue by many governments, politicians and throughout the world. As well as migration projections and scenarios that are essential for appropriate planning and effective policymaking, a deeper understanding of the root causes and drivers of migration and of their interrelation with people’s propensity to migrate is needed. Enhancing migration data is a crucial step to advance migration governance since better data is needed in order to accomplish sustainable social and economic development and national migrant data strategies are required to inform good policies. The project’s overall objective is to improve understandings of changing nature of migration flows and the drivers of migration, to analyse patterns, motivations and new geographies. Moreover, HumMingBird aims to calculate population estimates and determine emerging trends and future trends and accordingly to identify possible future implications of today’s policy decisions. Correspondingly, migration scenarios will be developed in a more forward looking manner that takes into account both quantitative and qualitative perspectives of different migration actors that might have an impact people’s decisions to migrate and consequent trends that will have an impact on our societies. Global scenarios will base on not only a realistic understanding of the drivers and dynamics of migration but also on the effects and effectiveness of past migration policies. Projects ambitions are to identify the uncertainties and reappraise, to explore the reasons why migration predictions may not hold and to demonstrate non-traditional data sources for migration research.