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ROS-LLM: A Framework for Embodied AI

20256 citationsPreprintgreen Open Access

Authors

Christopher E. Mower · Huawei Technologies (Sweden)

Yuhui Wan · University of Leeds

Hongzhan Yu · Huawei Technologies (Sweden)

Antoine Grosnit · Huawei Technologies (Sweden)

Jonas Gonzalez-Billandon · Huawei Technologies (Sweden)

Matthieu Zimmer · Huawei Technologies (Sweden)

Topics & Keywords

Anomaly Detection Techniques and Applications Semantic Web and Ontologies Explainable Artificial Intelligence (XAI)

Publication Details

Published in: Research Square

DOI: 10.21203/rs.3.rs-6046846/v1

· Technische Universität Darmstadt

Daniel Palenicek · Technische Universität Darmstadt

Davide Tateo · Technische Universität Darmstadt

Jan Peters · Technische Universität Darmstadt

Kaixian Qu · ETH Zurich

Mike Zhang · ETH Zurich

Ganqiu Lan · ETH Zurich

César Cadena · ETH Zurich

Marco Hutter · ETH Zurich

Guangjian Tian · Huawei Technologies (Sweden)

Yingping Zhuang · Huawei Technologies (Sweden)

Kun Shao · Huawei Technologies (Sweden)

Xiaoqing Zhuang · Huawei Technologies (Sweden)

Jianye Hao · Noah's Path

Jun Wang · University College London

Haitham Bou Ammar · Huawei Technologies (Sweden)

ROS-LLM: A Framework for Embodied AI | Researchclopedia