Author

Tolga İzdaş

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#artificial intelligence Preprint Sep 2026

Video2STL: Grounding VLM-Generated Temporal Specifications for Robot Learning

Video-based policy learning is particularly promising, as it illustrates target behaviors without requiring action annotations or embodiment-matched demonstrations. A central challenge is deciding what information should be transferred from the video to the robot. Existing approaches commonly convert visual observation...

Merve Atasever, Keyan Azbijari, Cagan Bakirci et al. · 0 citations

#artificial intelligence Preprint Sep 2026

From LLM-Generated Specifications to Learned Quadruped Locomotion

This work studies whether large language models (LLMs) can fill this gap by generating Parametric Signal Temporal Logic (PSTL) specifications that are subsequently used for policy learning, and instantiate the parameters of the generated PSTL templates using expert trajectories and retain only specifications that are c...

Merve Atasever, Keyan Azbijari, Cagan Bakirci et al. · 0 citations