{"ID":2876901,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.00218","arxiv_id":"2509.00218","title":"Embodied AI in Social Spaces: Responsible and Adaptive Robots in Complex Setting -- UKAIRS 2025 (Copy)","abstract":"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.","short_abstract":"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, cont...","url_abs":"https://arxiv.org/abs/2509.00218","url_pdf":"https://arxiv.org/pdf/2509.00218v1","authors":"[\"Aleksandra Landowska\",\"Aislinn D Gomez Bergin\",\"Ayodeji O. Abioye\",\"Jayati Deshmukh\",\"Andriana Bouadouki\",\"Maria Wheadon\",\"Athina Georgara\",\"Dominic Price\",\"Tuyen Nguyen\",\"Shuang Ao\",\"Lokesh Singh\",\"Yi Long\",\"Raffaele Miele\",\"Joel E. Fischer\",\"Sarvapali D. Ramchurn\"]","published":"2025-08-29T20:01:56Z","proceeding":"cs.RO","tasks":"[\"cs.RO\",\"cs.AI\"]","methods":"[]","has_code":false}