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Science Autonomy in the Atacama.

Trey Smith. In Proc. Int. Conf. on Machine Learning (ICML) Workshop on Machine Learning Technologies for Autonomous Space Applications, 2003.

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Abstract

We have recently embarked on a three-year project, funded by the NASA ASTEP program, to develop robotic astrobiology in the process of learning the limits of life in the Atacama desert of Chile. We see this as an opportunity to develop a more science-aware rover: one that, on encountering a new area, can select interesting features, perform initial experiments, and selectively return relevant data, all before receiving feedback from the science team. Several components of the proposed science autonomy system can make use of classifiers (is this the kind of rock we are looking for?) and clustering algorithms (is this rock like anything we have already sampled?). The unknown character of unexplored areas motivates use of on-line learning techniques.

BibTeX Entry

@InProceedings{smith03:sci_auton,
  author = 	 {Trey Smith},
  title = 	 {Science Autonomy in the {Atacama}},
  booktitle =	 {Proc. Int. Conf. on Machine Learning (ICML) Workshop on Machine Learning Technologies for Autonomous Space Applications},
  year =	 2003,
}

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