AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework
From International Center for Computational Logic
AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework
Yu YaoYu Yao, Salil BhatnagarSalil Bhatnagar, Markus MazzolaMarkus Mazzola, Vasileios BelagiannisVasileios Belagiannis, Igor GilitschenskiIgor Gilitschenski, Luigi PalmieriLuigi Palmieri, Simon RazniewskiSimon Razniewski, Marcel HallgartenMarcel Hallgarten
Yu Yao, Salil Bhatnagar, Markus Mazzola, Vasileios Belagiannis, Igor Gilitschenski, Luigi Palmieri, Simon Razniewski, Marcel Hallgarten
AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework
IROS, 2025
AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework
IROS, 2025
- Forschungsgruppe:Research Group: Knowledge-aware Artificial IntelligenceKnowledge-aware Artificial Intelligence
@inproceedings{YBMBGPRH2025,
author = {Yu Yao and Salil Bhatnagar and Markus Mazzola and Vasileios
Belagiannis and Igor Gilitschenski and Luigi Palmieri and Simon
Razniewski and Marcel Hallgarten},
title = {AGENTS-LLM: Augmentative {GENeration} of Challenging Traffic
Scenarios with an Agentic {LLM} Framework},
booktitle = {IROS},
year = {2025}
}
