Do you want to help NASA but don’t know how? NASA needs your help to train the SPOC algorithm, which will guide it’s a Mars rovers.
NASA’s Jet Propulsion Laboratory developed the SPOC- Soil Property and Object Classification algorithm, which creates a visual map called “river planners” to guide the path of Curiosity rover.
NASA’s Mars terrain classification algorithm needs you to draw boundaries around terrain and label them under one of the following:
- Sand
- Consolidated Soil
- BedRock
- Big Rocks
JPL’s AI researcher, Hiro Ono, said that, just like in the case of self-learning cars, a deep learning algorithm generally needs hundreds of thousands of examples to train.
NASA’s AI4Mars tool has a compilation of public database if more than 8000 Curiosity images.
Rover planner plans Curiosity’s routes in four to five hours. Researchers write hundreds of lines of codes so that unlike its predecessors, the rover can avoid running into rocks, slipping, or get stuck in the sand.
The planning involves anticipating shadows to determine accurate distances and pointing the antenna in the right direction to receive signals from Earth without any hindrance.
NASA will launch the Perseverance rover, Curiosity’s successor in the summer, and SPOC will benefit it.
For added support, engineers are translating AI4Mars into other languages, including Hindi, Spanish, Japanese, etc.
#AIMonks #AI #Algorithms #SPOCAlgorithm #NASA #MarsRover #CuriosityRover #PerseveranceRover #AI4Mars
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