René Heesch

19 papers A 1C 4Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Continuous-Time Consistency Model for 3D Point Cloud Generation.
CoRR
Sebastian Eilermann, René Heesch, Oliver Niggemann
2025 — conf
Evaluating Large Language Models for Real-World Engineering Tasks.
AI (1)
René Heesch, Sebastian Eilermann, Alexander Windmann, Alexander Diedrich, Oliver Niggemann
2025 J jnl
Evaluating Large Language Models for Real-World Engineering Tasks.
CoRR
René Heesch, Sebastian Eilermann, Alexander Windmann, Alexander Diedrich, Philipp Rosenthal, Oliver Niggemann
2025 — conf
Learning Sound and Complete Preconditions in Complex Real-World Domains.
CAIPI@ECAI
René Heesch, Björn Ludwig, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann
2025 J jnl
Modeling Cyber-Physical Systems for Fault Diagnosis.
IEEE Trans. Syst. Man Cybern. Syst.
Alexander Diedrich, Mattias Krysander, René Heesch, Oliver Niggemann
2025 — ed.
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), Bologna, Italy, October 25, 2025.
CAIPI@ECAI
Oliver Niggemann, Gautam Biswas, Andrea Micheli, René Heesch, Alexander Diedrich, Jonas Ehrhardt, Niklas Widulle
2025 — conf
Using Gradient-based Optimization for Planning with Deep Q-Networks in Parametrized Action Spaces.
CAIPI@ECAI
Jonas Ehrhardt, Johannes Schmidt, René Heesch, Oliver Niggemann
2024 A conf
A Lazy Approach to Neural Numerical Planning with Control Parameters.
ECAI
René Heesch, Alessandro Cimatti, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann
2024 J jnl
AAAI Workshop on AI Planning for Cyber-Physical Systems - CAIPI24.
CoRR
Oliver Niggemann, Gautam Biswas, Alexander Diedrich, Jonas Ehrhardt, René Heesch, Niklas Widulle
2024 C conf
Design Principles for Falsifiable, Replicable and Reproducible Empirical Machine Learning Research.
DX
Daniel Vranjes, Jonas Ehrhardt, René Heesch, Lukas Moddemann, Henrik Sebastian Steude, Oliver Niggemann
2024 C conf
Inferring Sensor Placement Using Critical Pairs and Satisfiability Modulo Theory.
DX
Alexander Diedrich, René Heesch, Marco Bozzano, Björn Ludwig, Alessandro Cimatti, Oliver Niggemann
2024 C conf
Summary of "A Lazy Approach to Neural Numerical Planning with Control Parameters" (Extended Abstract).
DX
René Heesch, Alessandro Cimatti, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann
2023 — conf
Integrating Machine Learning into an SMT-Based Planning Approach for Production Planning in Cyber-Physical Production Systems.
ECAI Workshops (2)
René Heesch, Jonas Ehrhardt, Oliver Niggemann
2023 — conf
Learning Process Steps as Dynamical Systems for a Sub-Symbolic Approach of Process Planning in Cyber-Physical Production Systems.
ECAI Workshops (2)
Jonas Ehrhardt, René Heesch, Oliver Niggemann
2023 J jnl
Transformation eines Fähigkeitsmodells in einen PDDL-Planungsansatz.
Autom.
Luis Miguel Vieira da Silva, René Heesch, Aljosha Köcher, Alexander Fay
2022 — conf
A Research Agenda for AI Planning in the Field of Flexible Production Systems.
ICPS
Aljosha Köcher, René Heesch, Niklas Widulle, Anna Nordhausen, Julian Putzke, Alexander Windmann, Oliver Niggemann
2022 C conf
An AI benchmark for Diagnosis, Reconfiguration & Planning.
ETFA
Jonas Ehrhardt, Malte Ramonat, René Heesch, Kaja Balzereit, Alexander Diedrich, Oliver Niggemann
2022 J jnl
On a Uniform Causality Model for Industrial Automation.
CoRR
Maria Krantz, Alexander Windmann, René Heesch, Lukas Moddemann, Oliver Niggemann
2021 J jnl
A Research Agenda for Artificial Intelligence in the Field of Flexible Production Systems.
CoRR
Aljosha Köcher, René Heesch, Niklas Widulle, Anna Nordhausen, Julian Putzke, Alexander Windmann, Sven Vagt, Oliver Niggemann