AIGreenBots is a Marie Skłodowska-Curie Actions Doctoral Network (MSCA-DN) project funded by the European Union, dedicated to advancing artificial intelligence and robotics for sustainable robotics and precision agriculture. Learn more about the project.

At DreamLab, we aim to contribute to AIGreenBots through research in simulation, task planning, and scene representation, all essential components for intelligent, reliable, and adaptable agricultural robots.

Our research focuses on:

  • Large-scale simulation frameworks for developing and testing robotic behaviors in realistic agricultural environments.

  • Task and mission planning architectures that enable autonomous decision-making under uncertainty.

  • Scene representation methods that integrate geometric, semantic and ontological data.

Our contributions aim to bridge the gap between high-level decision-making and real-world robotic performance, supporting the development of sustainable robotic solutions for next-generation precision agriculture.

Large-Scale Agricultural Robotics Simulation

Our large-scale simulation framework is capable of simulating agricultural scenes and robots such as the Clearpath Husky. In the video below, the Husky robot can be seen navigating in a lemon tree orchard simulated on undulated hill-like terrain.

Data Collection in Real-World Agricultural Fields

Our initial experiments have considered vineyard and orchard environments as test fields for robotic deployment.