Onboard Adaptive Learning for Planetary Surface Rover Control in Rough Terrain

  title={Onboard Adaptive Learning for Planetary Surface Rover Control in Rough Terrain},
  author={Terrance L. Huntsberger and Hrand Aghazarian and Edward Tunstel},
  journal={Proceedings of the 2005 IEEE International Conference on Robotics and Automation},
Current and future NASA robotic missions to planetary surfaces are tending toward longer duration and are becoming more ambitious for rough terrain access. For a higher level of autonomy in such missions, the rovers will require behavior that must also adapt to declining rover health and unknown environmental conditions. The MER (Mars Exploration Rovers) called Spirit and Opportunity have both passed 350 days of life on the Martian surface, with possible extensions to 450 days and beyond… CONTINUE READING
5 Citations
27 References
Similar Papers


Publications referenced by this paper.
Showing 1-10 of 27 references

Design and Implementation of a BehaviorBased Control and Learning Architecture for Mobile Robots

  • M. J. Kim, S. Lee, B. J. Yi
  • 2002

Coordination of exploration and exploitation in a dynamic environment

  • F. Yang, T. Hickey, M. Goldstein
  • International Joint Conference on Neural Networks…
  • 2000

Similar Papers

Loading similar papers…