Objectives

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Objectives#

../_images/ManhattanStreets.png

The objectives for this module are to:

  • Learn about the use of lists and tuples, two important data types in the Python language.

  • Learn how to keep track of the robot pose (position and heading) in the grid while driving.

  • Have the robot navigate to absolute coordinates (intersections defined by the row and column indicies.)

  • Use lists of intersections to define multiple goals for the robot to implement.

  • Learn about the most basic navigation algorithm we call Manhattan driving named after the rectangular (and regular) streets and avenues in the New York city.

  • Implement a path creation algorithm as a class in a way that allows many such algorithms to be used interchangeably.

  • Implement a navigation class to contain your code to drive to the list of intersections in a way that it can be used with the path creation code.

Final Project#

You will be given intersections defined as a Python list containing tuples. You will program your robot to drive to all the intersections in the list in order using Manhattan navigation to figure out the path to get from the current position to each intersection in turn.

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