PROJECT DESCRIPTION:

The project aims at developing advanced robotic solutions by incorporating various types of sensors to address remaining challenges in Dismantling & Decommissioning (D&D). This will include remote and mobile investigation of hard-to-access areas and difficult-to-measure radionuclide characterization in innovative, safe, and cost-effective ways.

The project innovations are expertly crafted for nuclear instrumentation, featuring precise and space-saving sensors, seamlessly integrated onto robotic platforms, and managed by data-driven robot fleet management. Our management prioritizes accuracy, compactness, automation, and cost-efficiency.

OBJECTIVES:

1. Developing nuclear instrumentation solutions and sensors for wheeled and legged UGVs and UAVs. 

2. Integrating sensors into UGVs and UAVs to enhance real-world perception capabilities and achieve robust autonomous navigation for robots in complex, dynamic environments.

3. Focus on developing an autonomous safety navigation system to avoid obstacles and radiation sources, including multi-robot simultaneous localization and mapping.

4. Creating algorithms that enable seamless coordination and collaboration among multiple robots, ensuring efficient communication, information sharing, and cooperative task completion.

5. Developing AI-based algorithms for accurate 3D scene reconstruction, combining robot sensor data for a unique, interpretable 3D representation.

6. Developed technologies will be showcased in a real D&D facility, specifically the G2 nuclear reactor in France, during its complete dismantling phase in 2020.

ACTIVITIES

• • WP1 Project management
    WP2 Requirements analysis: specifications and safety
    WP3 Nuclear embedded instrumentation and associated algorithms
    WP4 Multi-Robot Platform Integration and Deployment
    WP5 Data fusion and Radiological mapping with AI-based mission scheduler
    WP6 Demonstration and use cases
    WP7 Communication, Dissemination and Exploitation activities

EXPECTED RESULTS

• • • • • Developing an all-in-one system with 3D radiological cartography
        • Implementing data-driven management systems for robot fleets
        • Creating indoor unmanned vehicles with precise localization, robust autonomous navigation, and advanced vision capabilities
        • Designing resilient radiological measurement sensors
        • Implementing AI-based real-time decision-making algorithms for D&D scenarios
        • Enhancing knowledge about robotic behavior in indoor environments
        • Establishing guidelines for data collection protocols and best practices