# Embodied AI in Social Spaces: Responsible and Adaptive Robots in Complex Setting -- UKAIRS 2025 (Copy)

**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

arXiv: 2509.00218 · 2025-09-04

## TL;DR

This paper presents a multidisciplinary approach to developing responsible, adaptive multi-human multi-robot systems in complex social environments, emphasizing ethical, emotional, and context-aware AI integration.

## Contribution

It introduces a novel framework combining co-design, ethics, and multimodal sensing for embodied AI in social spaces, with early results demonstrating its potential.

## Key findings

- Development of emotionally responsive robots
- Integration of ethical frameworks in robot design
- Initial demonstrations of context-aware multi-robot systems

## 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.

## Full text

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## Figures

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## References

10 references — full list in the complete paper: https://tomesphere.com/paper/2509.00218/full.md

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Source: https://tomesphere.com/paper/2509.00218