Artificial Intelligence and sensor-fusion systems in sustainable robotics for precision agriculture

Artificial Intelligence and sensor-fusion systems in sustainable (Green) robotics for precision agriculture Objectives O1) Design and development of novel robotic platforms for precision agriculture. O2) Development of new multi-sensor robotic perception systems. O3) Endow the robots/systems with reliable ML capabilities. O4) Decision-making for robots operating in real-world agricultural conditions. O5) Safety-legal operation of the Agri-bots on the field. Beneficiaries i) New approaches to the development of probabilistic ML techniques for precision agriculture and agricultural robotics; ii) New theoretical models and techniques for multiple-sensor robotic perception; iii) New robotic platforms and probabilistic principles to cope with the challenging conditions in agriculture domains; iv) Novel safety and legislation compliance approaches in agricultural robotics. Expected scientific impacts Work Packages Associated Partners AIGreenBots is a Doctoral Network that aims to provide advanced training and real-life experience for Doctoral Candidates who will develop their work in agricultural robotics and reliable AI/ML. https://aigreenbots.eu/ Starting date: Oct 2024 End date: 2028 (48 M) Budget (Total): 2,437,509 EUR Call: HORIZON-MSCA-2023-DN-01 WP1: Mgmt., governance, recruitment, dissemination, outreach WP2: Career dev., network-wide and transferable skills training WP3: Agricultural robot design and development WP4: Robotic perception and sensor-fusion tech. development WP5: Reliable AI/ML for Agribots WP6: Robotic decision-making systems WP7: Safe & legal operation of robots in agricultural environments