27 citations · 47 across the 3 of their papers we have counts for
3 papers
CoT-TL: Low-Resource Temporal Knowledge Representation of Planning Instructions Using Chain-of-Thought Reasoning
Kumar Manas, Stefan Zwicklbauer, Adrian Paschke
Autonomous agents often face the challenge of interpreting uncertain natural language instructions for planning tasks. Representing these instructions as Linear Temporal Logic (LTL…
TR2MTL: LLM based framework for Metric Temporal Logic Formalization of Traffic Rules
Kumar Manas, Stefan Zwicklbauer, Adrian Paschke
Traffic rules formalization is crucial for verifying the compliance and safety of autonomous vehicles (AVs). However, manual translation of natural language traffic rules as formal…
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Julian Wörmann, Daniel Bogdoll, Christian Brunner +49
The availability of representative datasets is an essential prerequisite for many successful artificial intelligence and machine learning models. However, in real life applications…