Information, big data and autonomy
This problem is a UK government area of research interest (ARI) that was originally posted at https://ari.org.uk/ by a UK government organisation to indicate that they are keen to see research related to this area.
Integrating autonomous systems - Defence is interested in addressing the integration challenges of operating these new autonomous systems with legacy military capabilities. From a people perspective - what are the opportunities, costs and risks of introducing autonomous systems? How do we effectively integrate people with autonomous systems and define the boundaries and interfaces?
In an increasingly connected and complex world, we need to optimise our use of rich and diverse data sets to inform decision makers in a timely manner. As the types and volumes of information available to the commander increase, this will place a greater importance on tools and techniques to collate, synthesise and visualise information in a timely and understandable way so that it can be readily acted upon. Different sources will have different degrees of assurance but combining multiple information sources greatly increases the robustness of the analysis – although we need to be able to show levels of certainty/uncertainty within the analysis.
Contact details
accelerator@dstl.gov.uk
Related UKRI Projects
- Human-Autonomous Systems Collective Capability (HASCC)
- Role of Modelling & Simulation in Advancing NATO NEC - Loughborough Participation in MSG-062.
- Intelligent Situational Awareness Platform
- C2 Agility and Requisite Maturity Loughborough University Participation in NATO Task Group SAS-085
- DIVA: Data Intensive Visual Analytics - Provenance and Uncertainty in Human Terrain Analysis
- Human-machine learning of ambiguities to support safe, effective, and legal decision making
- Towards More Autonomy for Unmanned Vehicles: Situational Awareness and Decision Making under Uncertainty
- Multi Agent eXchange and Analysis of Data – MAXAD
- Situational awareness technology for critical services
- DISTRIBUTED SENSING, CONTROL AND DECISION MAKING IN MULTIAGENT AUTONOMOUS SYSTEMS