Analysis of Interior Rubble Void Spaces at Champlain Towers South Collapse - Robotics Institute Carnegie Mellon University

Analysis of Interior Rubble Void Spaces at Champlain Towers South Collapse

Ananya Rao, Robin Murphy, David Merrick, and Howie Choset
Conference Paper, Proceedings of IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), November, 2022

Abstract

The 2021 Champlain Towers South Condominiums collapse in Surfside, Florida, resulted 98 deaths. Nine people are thought to have survived the initial collapse, and might have been rescued if rescue workers could have located them. Perhaps, if rescue workers had been able to use robots to search the interior of the rubble pile, outcomes might have been better. An improved understanding of the environment in which a robot would have to operate to be able to search the interior of a rubble pile would help roboticists develop better suited robotic platforms and control strategies. To this end, this work offers an approach to characterize and visualize the interior of a rubble pile and conduct a preliminary analysis of the occurrence of voids. Specifically, the analysis makes opportunistic use of four days of aerial imagery gathered from responders at Surfside to create a 3D volumetric aggregated model of the collapse in order to identify and characterize void spaces in the interior of the rubble. The preliminary results confirm expectations of small number and scale of these interior voids. The results can inform better selection and control of existing robots for disaster response, aid in determining the design specifications (specifically scale and form factor), and improve control of future robotic platforms developed for search operations in rubble.

BibTeX

@conference{Rao-2022-136831,
author = {Ananya Rao and Robin Murphy and David Merrick and Howie Choset},
title = {Analysis of Interior Rubble Void Spaces at Champlain Towers South Collapse},
booktitle = {Proceedings of IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)},
year = {2022},
month = {November},
}