René Heesch

According to our database, René Heesch authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ConTiCoM-3D: A Continuous-Time Consistency Model for 3D Point Cloud Generation.

Sebastian Eilermann, René Heesch, Oliver Niggemann

Proceedings of the International Conference on 3D Visio, 2026

2025

Modeling Cyber-Physical Systems for Fault Diagnosis.

Alexander Diedrich, Mattias Krysander, René Heesch, Oliver Niggemann

IEEE Trans. Syst. Man Cybern. Syst., December, 2025

A Continuous-Time Consistency Model for 3D Point Cloud Generation.

Sebastian Eilermann, René Heesch, Oliver Niggemann

CoRR, September, 2025

Evaluating Large Language Models for Real-World Engineering Tasks.

René Heesch, Sebastian Eilermann, Alexander Windmann, Alexander Diedrich, Philipp Rosenthal, Oliver Niggemann

CoRR, May, 2025

Learning Sound and Complete Preconditions in Complex Real-World Domains.

René Heesch, Björn Ludwig, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann

Proceedings of the ECAI Workshop on AI-based Planning for Complex Real-World Applications (CAIPI 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

Using Gradient-based Optimization for Planning with Deep Q-Networks in Parametrized Action Spaces.

Jonas Ehrhardt, Johannes Schmidt, René Heesch, Oliver Niggemann

Proceedings of the ECAI Workshop on AI-based Planning for Complex Real-World Applications (CAIPI 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

Evaluating Large Language Models for Real-World Engineering Tasks.

René Heesch, Sebastian Eilermann, Alexander Windmann, Alexander Diedrich, Oliver Niggemann

Proceedings of the AI 2025: Advances in Artificial Intelligence, 2025

2024

AAAI Workshop on AI Planning for Cyber-Physical Systems - CAIPI24.

Oliver Niggemann, Gautam Biswas, Alexander Diedrich, Jonas Ehrhardt, René Heesch, Niklas Widulle

CoRR, 2024

A Lazy Approach to Neural Numerical Planning with Control Parameters.

René Heesch, Alessandro Cimatti, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Design Principles for Falsifiable, Replicable and Reproducible Empirical Machine Learning Research.

Daniel Vranjes, Jonas Ehrhardt, René Heesch, Lukas Moddemann, Henrik Sebastian Steude, Oliver Niggemann

Proceedings of the 35th International Conference on Principles of Diagnosis and Resilient Systems, 2024

Summary of "A Lazy Approach to Neural Numerical Planning with Control Parameters" (Extended Abstract).

René Heesch, Alessandro Cimatti, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann

Proceedings of the 35th International Conference on Principles of Diagnosis and Resilient Systems, 2024

Inferring Sensor Placement Using Critical Pairs and Satisfiability Modulo Theory.

Alexander Diedrich, René Heesch, Marco Bozzano, Björn Ludwig, Alessandro Cimatti, Oliver Niggemann

Proceedings of the 35th International Conference on Principles of Diagnosis and Resilient Systems, 2024

2023

Transformation eines Fähigkeitsmodells in einen PDDL-Planungsansatz.

Luis Miguel Vieira da Silva, René Heesch, Aljosha Köcher, Alexander Fay

Autom., 2023

Integrating Machine Learning into an SMT-Based Planning Approach for Production Planning in Cyber-Physical Production Systems.

René Heesch, Jonas Ehrhardt, Oliver Niggemann

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

Learning Process Steps as Dynamical Systems for a Sub-Symbolic Approach of Process Planning in Cyber-Physical Production Systems.

Jonas Ehrhardt, René Heesch, Oliver Niggemann

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

2022

On a Uniform Causality Model for Industrial Automation.

Maria Krantz, Alexander Windmann, René Heesch, Lukas Moddemann, Oliver Niggemann

CoRR, 2022

A Research Agenda for AI Planning in the Field of Flexible Production Systems.

Aljosha Köcher, René Heesch, Niklas Widulle, Anna Nordhausen, Julian Putzke, Alexander Windmann, Oliver Niggemann

Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022

An AI benchmark for Diagnosis, Reconfiguration & Planning.

Jonas Ehrhardt, Malte Ramonat, René Heesch, Kaja Balzereit, Alexander Diedrich, Oliver Niggemann

Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

2021

A Research Agenda for Artificial Intelligence in the Field of Flexible Production Systems.

Aljosha Köcher, René Heesch, Niklas Widulle, Anna Nordhausen, Julian Putzke, Alexander Windmann, Sven Vagt, Oliver Niggemann

CoRR, 2021