Jessica E. Todd — accepted AI-conference papers

2024

Adaptive multi-altitude search and sampling of sparsely distributed natural phenomena

Jessica E. Todd, Seth McCammon, Yogesh Girdhar, Nicholas Roy, Dana Yoerger

IROS 2024poster

In this paper, we propose a novel method for autonomously seeking out sparsely distributed targets in an unknown underwater environment. Our Sparse Adaptive Search and Sample (SASS) algorithm mixes low-altitude observations of discrete targets with high-altitude observations of the surrounding subst…

Cited by 0 Source ↗Scholar ↗

2023

CUREE: A Curious Underwater Robot for Ecosystem Exploration

Yogesh Girdhar, Nathan McGuire, Levi Cai, Stewart Jamieson, Seth McCammon, Brian Claus +3

ICRA 2023poster

The current approach to exploring and monitoring complex underwater ecosystems, such as coral reefs, is to conduct surveys using diver-held or static cameras, or deploying sensor buoys. These approaches often fail to capture the full variation and complexity of interactions between different reef or…

Cited by 28 Source ↗Scholar ↗