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.
–arXiv.org 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.
arXiv.org Artificial Intelligence
Sep-4-2025
- Country:
- Europe > United Kingdom
- England
- Buckinghamshire > Milton Keynes (0.05)
- Hampshire > Southampton (0.08)
- Merseyside > Liverpool (0.05)
- Nottinghamshire > Nottingham (0.20)
- Tyne and Wear > Newcastle (0.06)
- England
- North America > United States
- New York > New York County > New York City (0.05)
- Europe > United Kingdom
- Genre:
- Research Report (0.50)
- Industry:
- Health & Medicine > Therapeutic Area > Neurology (0.47)
- Technology:
- Information Technology > Artificial Intelligence
- Issues > Social & Ethical Issues (0.50)
- Representation & Reasoning > Agents (0.71)
- Robots (1.00)
- Information Technology > Artificial Intelligence