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Spirit Rover Makes Longest Trip Yet

ivan1011001 writes "Spirit traveled just over 88 feet in an attempt to visit the crater "Bonneville" to look for evidence of water on Mars. Engineers had hoped the rover would travel 164 feet, but Spirit didn't cover the full distance because it spent more time than initially planned studying rocks and soil along the way. This is longer than its earlier PR of 70 feet."

4 of 229 comments (clear)

  1. latest information can be found here.. by kernkopje · · Score: 5, Informative

    The latest information on Spirit's and Opportunity's adventures can be found here!

  2. Re:Wow. Amazing. Not. by mikerich · · Score: 5, Informative
    Didn't the Soviet built lunar rovers go much further in a single day back in the early 70's?

    Lunokhod could manage between 0.8 and 2 kilometres per hour depending on soil conditions and slope. Lunokhod 1 survived for 10 months and covered 10.54 km, Lunokhod 2 lasted only 3 months but did 37 km. I'm not sure how much of that time was 'active' since the rovers were shut down during the 14 day Lunar night.

    However neither vehicle was autonomous, they were remote controlled from Earth. This is possible with a 2 second lag to the Moon, but unfeasible on Mars.

    Best wishes,
    Mike.

  3. Re:Wow. Amazing. Not. by C0vardeAn0nim0 · · Score: 5, Informative

    a lunar day is equivalent to several earth days. this means the russian rover could drive across the moon on solar power for much longer than spirit. the drawback is that it also had to sleep for almost 2 earth weeks at a time.

    --
    What ? Me, worry ?
  4. Re:One short trip for Artificial Intelligence by cozziewozzie · · Score: 5, Informative

    Strictly speaking, that's not a domain of artificial intelligence, but pure computer vision. There are known techniques for building a map, given processed camera images, and there is usually no reasoning involved. Just a simple algorithm to find the shortest path. The search space is usually small enough not to warrant AI techniques.

    Of course, it is possible that they are using higher-level AI techniques for finding the optimal path, but I doubt it as the classical image processing techniques are fast and robust enough for this sort of task.