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.
@article{arxiv.2509.00218,
title = {Embodied AI in Social Spaces: Responsible and Adaptive Robots in Complex Setting -- UKAIRS 2025 (Copy)},
author = {Aleksandra Landowska and Aislinn D Gomez Bergin and Ayodeji O. Abioye and Jayati Deshmukh and Andriana Bouadouki and Maria Wheadon and Athina Georgara and Dominic Price and Tuyen Nguyen and Shuang Ao and Lokesh Singh and Yi Long and Raffaele Miele and Joel E. Fischer and Sarvapali D. Ramchurn},
journal= {arXiv preprint arXiv:2509.00218},
year = {2025}
}