The Essential Role of Causality in Foundation World Models for Embodied AI
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , , , , , , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866913335261265920 |
|---|---|
| author | Gupta, Tarun Gong, Wenbo Ma, Chao Pawlowski, Nick Hilmkil, Agrin Scetbon, Meyer Rigter, Marc Famoti, Ade Llorens, Ashley Juan Gao, Jianfeng Bauer, Stefan Kragic, Danica Schölkopf, Bernhard Zhang, Cheng |
| author_facet | Gupta, Tarun Gong, Wenbo Ma, Chao Pawlowski, Nick Hilmkil, Agrin Scetbon, Meyer Rigter, Marc Famoti, Ade Llorens, Ashley Juan Gao, Jianfeng Bauer, Stefan Kragic, Danica Schölkopf, Bernhard Zhang, Cheng |
| contents | Recent advances in foundation models, especially in large multi-modal models and conversational agents, have ignited interest in the potential of generally capable embodied agents. Such agents will require the ability to perform new tasks in many different real-world environments. However, current foundation models fail to accurately model physical interactions and are therefore insufficient for Embodied AI. The study of causality lends itself to the construction of veridical world models, which are crucial for accurately predicting the outcomes of possible interactions. This paper focuses on the prospects of building foundation world models for the upcoming generation of embodied agents and presents a novel viewpoint on the significance of causality within these. We posit that integrating causal considerations is vital to facilitating meaningful physical interactions with the world. Finally, we demystify misconceptions about causality in this context and present our outlook for future research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_06665 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The Essential Role of Causality in Foundation World Models for Embodied AI Gupta, Tarun Gong, Wenbo Ma, Chao Pawlowski, Nick Hilmkil, Agrin Scetbon, Meyer Rigter, Marc Famoti, Ade Llorens, Ashley Juan Gao, Jianfeng Bauer, Stefan Kragic, Danica Schölkopf, Bernhard Zhang, Cheng Artificial Intelligence Computation and Language Machine Learning Robotics Recent advances in foundation models, especially in large multi-modal models and conversational agents, have ignited interest in the potential of generally capable embodied agents. Such agents will require the ability to perform new tasks in many different real-world environments. However, current foundation models fail to accurately model physical interactions and are therefore insufficient for Embodied AI. The study of causality lends itself to the construction of veridical world models, which are crucial for accurately predicting the outcomes of possible interactions. This paper focuses on the prospects of building foundation world models for the upcoming generation of embodied agents and presents a novel viewpoint on the significance of causality within these. We posit that integrating causal considerations is vital to facilitating meaningful physical interactions with the world. Finally, we demystify misconceptions about causality in this context and present our outlook for future research. |
| title | The Essential Role of Causality in Foundation World Models for Embodied AI |
| topic | Artificial Intelligence Computation and Language Machine Learning Robotics |
| url | https://arxiv.org/abs/2402.06665 |