Shutter, the Robot Photographer: Leveraging Behavior Trees for Public, In-the-Wild Human-Robot Interactions
Abstract
Deploying interactive systems in-the-wild requires adaptability to situations not encountered in lab environments. Our work details our experience about the impact of architecture choice on behavior reusability and reactivity while deploying a public interactive system. In particular, we introduce Shutter, a robot photographer and a platform for public interaction. In designing Shutter's architecture, we focused on adaptability for in-the-wild deployment, while developing a reusable platform to facilitate future research in public human-robot interaction. We find that behavior trees allow reactivity, especially in group settings, and encourage designing reusable behaviors.
Keywords
Cite
@article{arxiv.2302.00191,
title = {Shutter, the Robot Photographer: Leveraging Behavior Trees for Public, In-the-Wild Human-Robot Interactions},
author = {Alexander Lew and Sydney Thompson and Nathan Tsoi and Marynel Vázquez},
journal= {arXiv preprint arXiv:2302.00191},
year = {2023}
}
Comments
Submitted to the 2022 Human-Robot Interaction in Public Spaces workshop: https://sites.google.com/view/hripublicspaces2022