# Diversity-aware social robots meet people: beyond context-aware embodied AI

arXiv: https://arxiv.org/abs/2207.05372 · HTML: https://mlsanity.com/paper/2207.05372/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 3 of its 33 references that are in the map.
- First posted on arXiv 12 Jul 2022.

## Builds on (most cited first, 3 of 3)

- [Continual Lifelong Learning with Neural Networks: A Review](https://mlsanity.com/paper/1802.07569/) (2018)
- [Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings](https://mlsanity.com/paper/1607.06520/) (2016)
- [Paving the Way for Culturally Competent Robots: a Position Paper](https://mlsanity.com/paper/1803.08812/) (2018)

## Built on by (most cited first, 2 of 2)

- [Principles and Guidelines for Evaluating Social Robot Navigation Algorithms](https://mlsanity.com/paper/2306.16740/) (2023)
- [Enhancing LLM-Based Human-Robot Interaction with Nuances for Diversity Awareness](https://mlsanity.com/paper/2406.17531/) (2024)

## Abstract (arXiv)

The article introduces the concept of "diversity-aware" robotics and discusses the need to develop computational models to embed robots with diversity-awareness: that is, robots capable of adapting and re-configuring their behavior to recognize, respect, and value the uniqueness of the person they interact with to promote inclusion regardless of their age, race, gender, cognitive or physical capabilities, etc. Finally, the article discusses possible technical solutions based on Ontologies and Bayesian Networks, starting from previous experience with culturally competent robots.