Methods for bridging reality gaps

The BattleVerse 1st Open Call aims to support the development and validation of innovative technological solutions that contribute to advanced mission planning, simulation, training and execution in defence related environments. Selected applicants will implement a six-month experiment, developing and demonstrating their proposed solution and assessing its potential contribution to the BattleVerse ecosystem. Proposals shall address one of the following three technical topics: Topic 1: LLMs for strategic decision-making, symbolic reasoning, game theory and planning under uncertainty. Experiments under this topic will explore the use of Large Language Models (LLMs) and AI-based approaches to support strategic decision-making and mission planning, including symbolic reasoning, game-theoretic modelling, planning under uncertainty and human-in-the-loop approaches. Topic 2: Multi-physics simulation capabilities for multi-domain defence environments. Experiments selected under this topic should explore and demonstrate simulation approaches capable of modelling complex operational environments and interactions across multiple warfare domains. Topic 3: Distributed AI for autonomous systems (UxVs) with for coordinated swarm operations. Experiments selected under this topic should explore and demonstrate how autonomous systems powered by machine learning and distributed AI can support coordinated multi-UxV operations in complex operational environments. Across the three topics, proposed experiments should demonstrate a clear technological contribution, a credible implementation approach and the potential to advance the capabilities of the BattleVerse simulation environment. Experiments are expected to achieve at least TRL 5 by the end of the six-month implementation period. Selected beneficiaries will also have access to targeted coaching and guidance activities provided by the BattleVerse consortium. These activities will support applicants in addressing relevant technical challenges related to the development, integration, testing and validation of their solutions. The selected beneficiaries will remain fully responsible for the implementation and delivery of their experiments.