The AIPlan4EU project will bring AI planning as a first-class citizen in the European AI On-Demand (AI4EU) Platform by developing a uniform, user-centered framework to access the existing planning technology and by devising concrete guidelines for innovators and practitioners on how to use this technology. To do so, we will consider use-cases from diverse application areas that will drive the design and the development of the framework, and include several available planning systems as engines that can be selected to solve practical problems. We will develop a general and planner-agnostic API that will both be served by the AI4EU platform and be available as a resource to be integrated into the users' systems. The framework will be validated on use-cases both from within the consortium and recruited by means of cascade funding; moreover, standard interfaces between the framework and common industrial technologies will be developed and made available.
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These are two projects ILAADR - Internal Logistics with Automated Autonomous Delivery and Replenishment and ILEVATOR - intraLogistics Enabled by autonomous Vehicles cooperATing with Operators and Robots both funded by EIT Digital.
In AWARD, the ES unit is responsible for the intra-logistic planning of a warehouse using Automated Guided Vehicles and by coordinating the last mile deliveries using drones.
Self-learning planning algorithms, based on academic knowledge and machine learning Techniques
This project is part of a key workstream activity of the company financing this activity which aims at changing the paradigm of underwater inspections and interventions via a fleet of next-generation drones and advanced ancillary equipments.
Within this project the ES unit will design and develop the Autonomous Reasoning Engine for the subsea robotic platform of the company:
The Mechanical Automation Integration System is an ambitious project aimed at the development of a platform for the automatic control of electroplating plants. We discovered that for this project, the combination of the planning and the scheduling sub-problems was intractable for existing domain-independent planers. In the project we developed a very efficient domain-dependent planner in which we coded the knowledge gained from extensive discussions with domain experts.
Velos (Verifica Logica di Sicurezza) is a project aimed to apply formal methods to verification and validation of Logica di Sicurezza (LdS), software designed to monitor and control railway systems.
The Innovative Rover Operations Concepts – Autonomous Planning (IRONCAP) is an ESA study project to explore and define the concepts and interactions needed to control and plan the activities of an interplanetary rover. Its aim is to develop a prototype system to support the science and engineering planning of an interplanetary rover using stateof-the-art methods and techniques in planning and scheduling combined with existing and/or developing ground segment systems and technologies.
Improving the quality of life for the elderly and disabled through technological progress. That is the goal of project Acube. The project’s goal is to study technologies for monitoring complex environments that can be applied in areas such as assisted living homes to help personnel, as well as to support the independence and safety of users.
SafeCer is targeting increased efficiency and reduced time-to-market by composable safety certification of safety-relevant embedded systems. The industrial domains targeted are within automotive and construction equipment, avionics, and rail. SafeCer will also develop certification guidelines and a training example for other domains, thus considerably increasing its market impact.
EIT Digital is launching "Autonomous Warehouse and Last Mile Delivery" (AWARD) a new innovation activity which aims to make movements of goods more efficient and effective.
AWARD will focus on improving the current state of operations inside a warehouse.