Welcome to the site web of AIRO 2025 the 12th Italian Workshop on Artificial Intelligence and Robotics, held in conjunction with the Italian Institute of Robotics and Intelligent Machines (I-RIM 3D 2025).
The AIRO workshop, organized by the Working Group on Artificial Intelligence and Robotics of the Italian Association for Artificial Intelligence (AIxIA), provides a forum to discuss the integration of AI techniques in autonomous robotics. The focus theme of this is edition is Planning and Learning for Autonomous Robotics.
The synergistic integration of planning and learning is increasingly recognized as a cornerstone of advanced robotic autonomy. These techniques are crucial across several domains of robotics and are pervasively exploited at multiple levels of robotic architectures — from high-level decision making and task planning to low-level control and adaptive behaviors. As robots increasingly move beyond structured lab settings and into open-world applications, the ability to combine high-level planning mechanisms with effective methods for learning from experience and demonstration becomes essential. The combination of planning and learning is instrumental in shaping robot intelligence, enabling robots to plan complex action sequences, learn new tasks, and continuously adapt to dynamic environments.
The workshop aims to bring together researchers working at this intersection, with contributions in (but not limited to) the following areas:
Decision-theoretic and symbolic planning for robotics
Learning-based control and adaptive behaviors
Integration of learning and task planning in robot architectures
Task and motion planning with learning components
Task Teaching and Learning from Demonstrations
Reinforcement learning, imitation learning, and online adaptation
Applications in real-world scenarios: HRI, service robotics, autonomous exploration
In continuity with previous editions, AIRO2025 will also showcase contributions from the broader AI & Robotics community in Italy, particularly those involved in the PNRR MUR FAIR project (Future AI Research), to encourage national collaborations and cross-contamination between research domains.
Keywords – Task and Motion Planning in Robotics, Reinforcement Learning for Robot Autonomy, Learning from Demonstration and Imitation, Collaborative Task Teaching and Execution, Neuro-Symbolic Integration, Generative AI for Planning and Learning, Cognitive and Developmental Robotics, Robot Software Architectures
Submission deadline: TBD
Notification of acceptance: TBD
Camera Ready: TBD
Workshop day: Friday 17th October 2025