The Robotics Institute
Search the site
RI | Publications | Autonomous Robotic Meteorite Identification in Antarctica

Text only version of this site

Autonomous Robotic Meteorite Identification in Antarctica
L. Pedersen, M.D. Wagner, D. Apostolopoulos, and W.L. Whittaker
2001 IEEE International Conference on Robotics and Automation, May, 2001, pp. 4158-4165.

Jump to: Download | Abstract | Notes | Text Reference | BibTeX Reference

Download [Help]

Adobe portable document format (pdf) [471 KB]

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract

This paper describes the development and implementation of a Bayes network based system for distinguishing terrestrial rocks from meteorites from onboard the mobile robotic rover Nomad. Equipped with a color camera and spectrometer, Nomad autonomously made the first robotic identification of a meteorite, in January 2000 at the Elephant Moraine, Antarctica. This paper discusses rock classification from a robotic platform and the challenges of autonomously obtaining good sensor data in the field, while focusing on Nomad implementation.

Notes

Associated center: FRC

Number of pages: 8

Text Reference

L. Pedersen, M.D. Wagner, D. Apostolopoulos, and W.L. Whittaker, "Autonomous Robotic Meteorite Identification in Antarctica," 2001 IEEE International Conference on Robotics and Automation, May, 2001, pp. 4158-4165.

BibTeX Reference

@inproceedings{Pedersen_2001_3741,
   author = "Liam Pedersen and Michael D Wagner and Dimitrios Apostolopoulos and William Red L. Whittaker",
   title = "Autonomous Robotic Meteorite Identification in Antarctica",
   booktitle = "2001 IEEE International Conference on Robotics and Automation",
   month = "May",
   year = "2001",
   pages = "4158-4165"
}


The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.
For updates and comments, please see these instructions.
This page maintained by robotwebmaster@ri.cmu.edu