Pierrick Lorang

According to our database, Pierrick Lorang authored at least 10 papers between 2024 and 2026.

Collaborative distances:

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

2026

Build on Priors: Vision-Language-Guided Neuro-Symbolic Imitation Learning for Data-Efficient Real-World Robot Manipulation.

Pierrick Lorang, Johannes Huemer, Timothy R. Duggan, Kai Göbel, Patrik Zips, Matthias Scheutz

CoRR, April, 2026

Novelty Adaptation Through Hybrid Large Language Model (LLM)-Symbolic Planning and LLM-guided Reinforcement Learning.

Hong Lu, Pierrick Lorang, Timothy R. Duggan, Jivko Sinapov, Matthias Scheutz

CoRR, March, 2026

Agentic LLM Planning via Step-Wise PDDL Simulation: An Empirical Characterisation.

Kai Göbel, Pierrick Lorang, Patrik Zips, Tobias Glück

CoRR, March, 2026

The Price Is Not Right: Neuro-Symbolic Methods Outperform VLAs on Structured Long-Horizon Manipulation Tasks with Significantly Lower Energy Consumption.

Timothy R. Duggan, Pierrick Lorang, Hong Lu, Matthias Scheutz

CoRR, February, 2026

Breaking Task Impasses Quickly: Adaptive Neuro-Symbolic Learning for Open-World Robotics.

Pierrick Lorang

CoRR, January, 2026

2025

Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting.

Pierrick Lorang, Hong Lu, Johannes Huemer, Patrik Zips, Matthias Scheutz

CoRR, August, 2025

Curiosity-Driven Imagination: Discovering Plan Operators and Learning Associated Policies for Open-World Adaptation.

Pierrick Lorang, Hong Lu, Matthias Scheutz

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

A neurosymbolic cognitive architecture framework for handling novelties in open worlds.

Shivam Goel, Panagiotis Lymperopoulos, Ravenna Thielstrom, Evan A. Krause, Patrick Feeney, Pierrick Lorang, Sarah Schneider, Yichen Wei, Eric J. Kildebeck, Stephen A. Goss, Michael C. Hughes, Li-Ping Liu, Jivko Sinapov, Matthias Scheutz

Artif. Intell., 2024

A Framework for Neurosymbolic Goal-Conditioned Continual Learning in Open World Environments.

Pierrick Lorang, Shivam Goel, Yash Shukla, Patrik Zips, Matthias Scheutz

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Adapting to the "Open World": The Utility of Hybrid Hierarchical Reinforcement Learning and Symbolic Planning.

Pierrick Lorang, Helmut Horvath, Tobias Kietreiber, Patrik Zips, Clemens Heitzinger, Matthias Scheutz

Proceedings of the IEEE International Conference on Robotics and Automation, 2024