Embodied AI in Social Spaces: Responsible and Adaptive Robots in Complex Setting -- UKAIRS 2025 (Copy)
This addresses the problem of creating ethical and human-centered robots for social spaces, but it appears incremental as it builds on existing embodied AI concepts without introducing a new breakthrough.
The paper tackles the challenge of developing responsible and adaptive multi-human multi-robot systems for complex, dynamic settings, resulting in a project that integrates co-design, ethical frameworks, and multimodal sensing to create emotionally responsive and context-aware AI-driven robots.
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.