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Carnegie Mellon Robotics Institute

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Abstract

Future planetary rovers will travel autonomously over the visible horizon where data collection sequences cannot be scripted in advance. These rovers would benefit from an ability to autonomously identify science targets and deploy sensors. We present an automatic method for measuring rocks using a VIS/NIR reflectance spectrometer and solar illumination. Our approach leverages an automatic imagebased rock detection algorithm and SIFT keypoints [7] that establish feature correspondence across images. This permits a rover to collect multiple spectral target measurements in a single command cycle with no direct human intervention. We present field tests of the system at Amboy Crater in the Mojave Desert. Here rock detection with visual servoing significantly improves the diversity and purity of collected spectra.

Keywords

Autonomous Science, Space Robotics, Visual servoing

Notes

Associated Center(s) / Consortia: Field Robotics Center

Associated Project(s): Science Autonomy

Text Reference

Francisco Calderon, David R. Thompson, and David Wettergreen, "Autonomous Rover Reflectance Spectroscopy with Dozens of Targets," International Symposium on Artificial Intelligence, Robotics and Automation in Space (iSAIRAS), February, 2008.

BibTeX Reference

@inproceedings{Calderon_2008_5956,
   author = "Francisco Calderon and David R Thompson and David Wettergreen",
   title = "Autonomous Rover Reflectance Spectroscopy with Dozens of Targets",
   booktitle = "International Symposium on Artificial Intelligence, Robotics and Automation in Space (iSAIRAS)",
   month = "February",
   year = "2008",
}

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