Milestones

M1: Preparatory theoretical and IT research and development

Data preparation, cleansing, aggregation and storage procedures to handle missing, outlier and sparse data.
Prediction models with uncertainty and prediction content.
Scheduling models and procedures for non-renewable resources.
High level motion models of UGV/UAV systems with human participants, cooperative optimal control methodology.
Design of a resilient network structure, prediction and impact of increasing information sharing.
Dynamic vehicle scheduling model, tested algorithms.
IT requirements for a circular economy.
Establishing 5G and IEEE802.1x based network environments, reliability evaluation. Implementation of mock-up environment supporting network simulation, reliable interconnection of logistics fleet.
Experimental cloud/edge platform, data repo, simulations, benchmark and machine learning methods.
Needs assessment, detailed specification and multi-agent system design.

Validation of prediction algorithms on real data, fine-tuning, data visualisation.
Modelling of resource balancing problems with approximation and online algorithms.
Impact of resilience in the presence of global network disturbances, cooperative protocols.
Dynamic vehicle scheduling with prediction algorithms, scalable testing.
Simulation space for UGV/UAV mobile robots, application and analysis of cooperative control.
Case study and cooperative business model to implement a circular economy.
Cooperation patterns in production networks, based on biological analogy. Evaluation with industrial stakeholders.
Network communication controls, design of simulation environment, implementation of demonstration HW/SW elements.
Extension of cloud platform for specific needs (5G), validation, final repository.