This article examines whether calls for European ‘strategic autonomy’ in response to Trump’s rhetoric are qualitatively different from earlier disagreements in US-EU relations. By doing so, it re-assesses Geir Lundestad’s concept of “Empire by Invitation” to illustrate constraints for the development of such an autonomy especially in defence affairs. We argue that the US’s involvement in European defence affairs was never an invitation to ‘empire’, as the invitational aspect was based on consent. A process has been accelerated by the Trump presidency whereby this consent has shifted towards strategic estrangement. However, the article argues that the reactive and intergovernmental nature of EU foreign and security policy continues to hamper more autonomous policy planning in CSDP matters – different readings about cyclical disruptions in EU-US relations notwithstanding. The article finally discusses how the introduction of new CSDP mechanisms impacts on this debate. LinkedIn: https://www.linkedin.com/in/martijn-lak-71793013/
Family Group Conferencing (FGC) is emerging in the field of elderly care, as a method to enhance the resilience and relational autonomy of older persons. In this article, we want to explore the appropriateness of these two concepts to understand the FGC process in older adults.
De Nederlandse agrosector heeft te maken met sterke schaalvergroting, klimaatverandering, achteruitgang van bouwland door bodemverdichting van zware machines, teruglopende beschikbaarheid van arbeid en een strengere milieuwetgeving. Oplossingen worden gezocht in het gebruik van kleine, autonome machines (agrobots) die specifieke taken van boeren kunnen overnemen. Nederlandse machinebouwers als Lely spelen hierop in met melk-, voer- en mestruimrobots. De agrarische sector wil steeds efficiënter werken, haar productiviteit verbeteren en vraagt zodoende voortdurend om slimmere applicaties. Een toekomstbeeld waarbij samenwerkende agrobots situaties kunnen beoordelen en gezamenlijk complexe taken kunnen uitvoeren wordt gezien als ‘The next step’ en onvermijdelijk, maar tevens als ingewikkeld, risicovol en voorlopig onrealiseerbaar. Machinebouwers hechten grote waarde aan betrouwbaarheid en missen de technologie om onderlinge coöperativiteit tussen machines met de nodige robuustheid te kunnen ontwikkelen en te integreren in hun product. De HAN heeft inmiddels veel ervaring opgebouwd op het gebied van programmeertools voor robotica en wil samen met kennisinstellingen als WUR, TUDelft en UT, machinebouwers als Lely en MultiToolTrac en eindgebruikers uit de agrarische sector, kennis en ervaring ontwikkelen op het gebied van het programmeren van robuuste, coöperatieve systemen. Het consortium wil dit doen met behulp van een modelgebaseerde workflow op basis van een integrale, open source toolchain waarin bestaande tools c.q. ecosystemen zijn geïntegreerd. Dit moet uiteindelijk resulteren in een praktijkdemonstratie – op de Floriade 2022 - van de technologie middels twee prototypes: mestrobots in de veehouderij en oogstafvoersystemen in de akkerbouw. Ten behoeve van een goede projectfocus beschouwt DurableCASE autonomie als reeds bestaand en voegt hier coöperativiteit aan toe. Concreet levert DurableCASE het volgende op: - gedemonstreerde en gepubliceerde, toepasbare kennis over robuuste coöperativiteit in agrobotica, gebaseerd op multi-agent technologie; - een open toolchain die efficiënte, modelgebaseerde ontwikkeling van robuuste coöperativiteit mogelijk maakt; - inzicht in de business case; - lesmateriaal op basis van bovengenoemde kennis en toolchain.
Due to the exponential growth of ecommerce, the need for automated Inventory management is crucial to have, among others, up-to-date information. There have been recent developments in using drones equipped with RGB cameras for scanning and counting inventories in warehouse. Due to their unlimited reach, agility and speed, drones can speed up the inventory process and keep it actual. To benefit from this drone technology, warehouse owners and inventory service providers are actively exploring ways for maximizing the utilization of this technology through extending its capability in long-term autonomy, collaboration and operation in night and weekends. This feasibility study is aimed at investigating the possibility of developing a robust, reliable and resilient group of aerial robots with long-term autonomy as part of effectively automating warehouse inventory system to have competitive advantage in highly dynamic and competitive market. To that end, the main research question is, “Which technologies need to be further developed to enable collaborative drones with long-term autonomy to conduct warehouse inventory at night and in the weekends?” This research focusses on user requirement analysis, complete system architecting including functional decomposition, concept development, technology selection, proof-of-concept demonstrator development and compiling a follow-up projects.
The increase in the number and complexity of crime activities in our nation together with shortage in human resources in the safety and security domain is putting extra pressure on emergency responders. The emergency responders are constantly confronted with sophisticated situations that urgently require professional, safe, and rapid handling to contain and conclude the situation to minimize the danger to public and the emergency responders. Recently, Dutch emergency responders have started to experiment with various types of robots to improve the responsiveness and the effectiveness of their responses. One of these robots is the Boston Dynamic’s Spot Robot Dog, which is primarily appealing for its ability to move in difficult terrains. The deployment of the robot in real emergencies is at its infancy. The main challenge that the robot dog operators are facing is the high workload. It requires the full attention to operate the robot itself. As such, the professional acts entirely as a robot operator rather than a domain expert that critically examines and addresses the main safety problems at hand. Therefore, there is an urgent request from these emergency response professionals to develop and integrate key technologies that enable the robot dog to operate more autonomously. In this project, we explore on how to increase the autonomy level of the robot dog in order to reduce the workload of the operator, and eventually help the operator remain domain expert. Therefore, we will explore the ability of the robot to autonomously 3D-map unknown confined areas. The results of this project will lead to new practical knowledge and a follow-up project that will focus on further developing the technologies that increase the autonomy of the robot for eventual deployment in operational environments. This project will also have direct contribution to education through involvement of students and lecturers.
