ECAI Workshop on AI-based Planning for Complex Real-World Applications (CAIPI’25) – October 25th, 2025, Bologna, Italy

Many real-world applications—such as robotics, manufacturing, smart infrastructure, advanced automotive systems, and critical resource management—feature non-linear dynamics, high-dimensional state and action spaces, and limited observability. These characteristics challenge existing planning approaches, necessitating the development of more advanced, integrated algorithms.

This workshop aims at bringing together researchers from diverse research directions in the AI planning community for addressing the challenges of complex real-world problems and bridging the gap between algorithmic research and real-world applications.

Topics of the workshop are:

Novel real-world applications for planning
Novel AI planning algorithms for complex real-world problems
Combinations of sub-symbolic and symbolic planning
Using Large Language Models (LLMs) for planning
Reinforcement / imitation / policy learning for decision-making in complex real-world applications
Automated generation of planning domain descriptions
Multi-objective decision-making

Here is a link to last year’s edition of CAIPI