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.
M2: Integrated research and development, demonstration and evaluation
- 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.