CAIPI 2025
ECAI 2025 Workshop on AI-based Planning for Complex Real-World Applications

Table of Contents

• Preface
  There were 16 papers submitted for peer-review to this workshop. Out of these, 9 papers were accepted for this volume, 7 as regular papers and 2 as short papers.

Papers

• A Formal Analysis of Hierarchical Planning with Multi-Level Abstraction 1-14
  Michael Staud
• Texas Hold’em Meets Risk-Aware HTN Planning: A Modelling and Architectural Perspective 15-24
  Ebaa Alnazer, Ilche Georgievski, Marco Aiello
• FlyAI: A Unified NLP and Computer Vision Framework for Autonomous Drone Mission Programming 25-38
  Gilda Manfredi, Ugo Erra, Nicola Capece, Michele Rinaldi
• Guiding Reinforcement Learning with Selective Vision-Language Model Supervision 39-51
  Matteo Merler, Giovanni Bonetta, Bernardo Magnini
• Using Gradient-based Optimization for Planning with Deep Q-Networks in Parametrized Action Spaces 52-67
  Jonas Ehrhardt, Johannes Schmidt, René Heesch, Oliver Niggemann
• Learning Sound and Complete Preconditions in Complex Real-World Domains 68-83
  René Heesch, Björn Ludwig, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann
• Energy-Aware Double-Flexible Job Shop Scheduling with Machine Modes and Setup Times: A Real-World Industrial Case Study using Constraint Programming 84-99
  Francesco Zuccato, Patrick Rodler, Gerhard Friedrich, Konstantin Schekotihin, Richard Comploi-Taupe
• AI-based Simulation Surrogates for Planning Rainfall-induced Landslide Mitigation 100-111
  Michele Baldassini, Francesco Pistolesi, Ignacio Giomi, Evelina Volpe, Elisabetta Cattoni
• Automated Planning for Optimal Data Pipeline Instantiation 112-125
  Leonardo Rosa Amado, Adriano Vogel, Dalvan Griebler, Gabriel Paludo Licks, Eric Simon, Felipe Meneguzzi