Concept Development and Experimentation support for Robotics and Autonomous Systems (RAS CD&E)

The RAS domain has two main challenges: the technology itself and how to use it. Often, the latter is the most challenging. What is the operational benefit? How can RAS be employed in the best manner? What should be considered capability development-wise when contemplating integrating RAS?

This requires thorough and rigorous analyses, unique expertise and experience, which is often not available for Defence Forces in a given time or in the desired amount.

Milrem Robotics’ RAS CD&E service supports customers from initial planning to full execution and post-execution analyses with (NATO standard) concept development and experimentation methodologies and a team with experience from the scientific world and RAS experimentation and implementation.

The service includes:

Requirements analysis and design

  • Capability gap analysis.
  • Initial system requirements identification (system configuration).
  • Design of the CD&E process (through developing the Concept Development Plan, including design of tests, trials, simulations, live exercises, table-top exercises, simulation exercises; design of Data Collection Plan).
  • Possible partner identification.

Execution

  • Development of doctrine, operational concept, CONOPS or use cases.
  • System and technology integration.
  • Experimentation and simulation of concepts and systems.
  • System implementation during military exercises.
  • Data collection.

Evaluation and reporting

  • Capability and effect-focused research and analysis.
  • Prognosis and longitude analyses of effects.
  • Cost-effectiveness analysis of using intelligent assets.
  • Socioeconomic analysis of effects and influence including ethics, social acceptance etc.
  • A written audit, certificate, and report for recommendations.

Evaluation and reporting

  • Post-experiment analyses.
  • Capability development and operational effect-focused research and analysis.
  • Prognosis and longitude analyses of effects.
  • Cost-effectiveness analysis of using intelligent assets.
  • Socioeconomic analysis of effects and influence including ethics, social acceptance etc.
  • A written audit, certificate, and report for recommendations.