Applied soft computing strategies for autonomous field robotics

  • Authors:
  • Edward Tunstel;Ayanna Howard;Terry Huntsberger;Ashitey Trebi-Ollennu;John M. Dolan

  • Affiliations:
  • NASA Jet Propulsion Laboratory, Caltech, Pasadena, CA;NASA Jet Propulsion Laboratory, Caltech, Pasadena, CA;NASA Jet Propulsion Laboratory, Caltech, Pasadena, CA;NASA Jet Propulsion Laboratory, Caltech, Pasadena, CA;Carnegie Mellon University, Pittsburgh, PA

  • Venue:
  • Autonomous robotic systems
  • Year:
  • 2003

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Abstract

This chapter addresses computing strategies designed to enable field mobile robots to execute tasks requiring effective autonomous traversal of natural outdoor terrain. The primary focus is on computer vision-based perception and autonomous control. Hard computing methods are combined with applied soft computing strategies in the context of three case studies associated with real-world robotics tasks including planetary surface exploration and land survey or reconnaissance. Each case study covers strategies implemented on wheeled robot research prototypes designed for field operations.