Embodied AI in Social Spaces: Responsible and Adaptive Robots in Complex Setting -- UKAIRS 2025 (Copy)
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| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866911135680167936 |
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| author | Landowska, Aleksandra Bergin, Aislinn D Gomez Abioye, Ayodeji O. Deshmukh, Jayati Bouadouki, Andriana Wheadon, Maria Georgara, Athina Price, Dominic Nguyen, Tuyen Ao, Shuang Singh, Lokesh Long, Yi Miele, Raffaele Fischer, Joel E. Ramchurn, Sarvapali D. |
| author_facet | Landowska, Aleksandra Bergin, Aislinn D Gomez Abioye, Ayodeji O. Deshmukh, Jayati Bouadouki, Andriana Wheadon, Maria Georgara, Athina Price, Dominic Nguyen, Tuyen Ao, Shuang Singh, Lokesh Long, Yi Miele, Raffaele Fischer, Joel E. Ramchurn, Sarvapali D. |
| contents | This paper introduces and overviews a multidisciplinary project aimed at developing responsible and adaptive multi-human multi-robot (MHMR) systems for complex, dynamic settings. The project integrates co-design, ethical frameworks, and multimodal sensing to create AI-driven robots that are emotionally responsive, context-aware, and aligned with the needs of diverse users. We outline the project's vision, methodology, and early outcomes, demonstrating how embodied AI can support sustainable, ethical, and human-centred futures. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_00218 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Embodied AI in Social Spaces: Responsible and Adaptive Robots in Complex Setting -- UKAIRS 2025 (Copy) Landowska, Aleksandra Bergin, Aislinn D Gomez Abioye, Ayodeji O. Deshmukh, Jayati Bouadouki, Andriana Wheadon, Maria Georgara, Athina Price, Dominic Nguyen, Tuyen Ao, Shuang Singh, Lokesh Long, Yi Miele, Raffaele Fischer, Joel E. Ramchurn, Sarvapali D. Robotics Artificial Intelligence This paper introduces and overviews a multidisciplinary project aimed at developing responsible and adaptive multi-human multi-robot (MHMR) systems for complex, dynamic settings. The project integrates co-design, ethical frameworks, and multimodal sensing to create AI-driven robots that are emotionally responsive, context-aware, and aligned with the needs of diverse users. We outline the project's vision, methodology, and early outcomes, demonstrating how embodied AI can support sustainable, ethical, and human-centred futures. |
| title | Embodied AI in Social Spaces: Responsible and Adaptive Robots in Complex Setting -- UKAIRS 2025 (Copy) |
| topic | Robotics Artificial Intelligence |
| url | https://arxiv.org/abs/2509.00218 |