Assessment of Robotic Recon for Human Exploration of the Moon - Robotics Institute Carnegie Mellon University

Assessment of Robotic Recon for Human Exploration of the Moon

Terrence W. Fong, Andrew Abercromby, Maria Bualat, Matthew Deans, Kip Hodges, Jose Hurtado, Rob Landis, Pascal Lee, and Debra Schreckenghost
Journal Article, Acta Astronautica, Vol. 67, No. 10, pp. 1176 - 1188, July, 2010

Abstract

Robotic reconnaissance ("recon") has the potential to significantly improve scientific and technical return from lunar surface exploration. In particular, robotic recon can be used to improve traverse planning, reduce operational risk, and increase crew productivity. To study how robotic recon can benefit human exploration, we recently conducted a field experiment at Black Point Lava Flow (BPLF), Arizona. In our experiment, a simulated ground control team at NASA Ames teleoperated a planetary rover to scout geology traverses at BPLF. The recon data were then used to plan revised traverses. Two-man crews subsequently performed both types of traverses using the NASA "Lunar Electric Rover" (LER) and simulated extra-vehicular activity (EVA) suits. This paper describes the design of our experiment, presents our results, and discusses directions for future research.

BibTeX

@article{Fong-2010-10493,
author = {Terrence W. Fong and Andrew Abercromby and Maria Bualat and Matthew Deans and Kip Hodges and Jose Hurtado and Rob Landis and Pascal Lee and Debra Schreckenghost},
title = {Assessment of Robotic Recon for Human Exploration of the Moon},
journal = {Acta Astronautica},
year = {2010},
month = {July},
volume = {67},
number = {10},
pages = {1176 - 1188},
keywords = {space robotics, lunar exploration, scouting},
}