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.