This track explores the engineering and science underpinning the next generation of unmanned and autonomous systems across air, ground, maritime, and space domains. Researchers, engineers, and platform developers will share advances in AI and machine learning, sensor fusion, edge computing, path planning, and degrees of autonomy alongside emerging fields including explainable AI, neuromorphic computing, digital twins, and foundation models for robotics. Sessions will address both fundamental research and applied development challenges, with particular focus on topics critical to the European operating environment including GNSS-denied navigation, RF resilience, and counter-UxS detection technologies.
This is the track for those building the systems of tomorrow. The track explicitly includes connected, cooperative and automated mobility (CCAM), SAE Level 3–4 automated driving systems, software-defined vehicle platforms, V2X technologies, teleoperated driving, and humanoid vehicle operation, recognising that road vehicle automation is a rapidly maturing field within European ground autonomy.
Keywords:Algorithm development, sensor integration, artificial intelligence, machine learning, computer vision, path planning, degrees of autonomy, quantum technologies, R&D, edge AI, explainable AI (XAI), neuromorphic computing, digital twins, foundation models, RF resilience, GNSS-denied navigation, space-enabled operations, UGV autonomy, multi-agent systems, human-robot interaction, RF detection, radar detection, acoustic and optical detection, AI threat classification, multi-sensor fusion, directed energy, cyber defeat, quantum radar, verification and validation (V&V), prototyping, common control, perception, mission capability, CCAM, connected and automated mobility, automated driving, SAE Level 3 and Level 4, V2X, cooperative perception, software-defined vehicles, teleoperated driving, humanoid vehicle operation, automotive autonomy
