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We have made it, guys.

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We have everything we wanted from the environment.

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The path to the goal and the rowboat location.

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The only thing left for us to do is to make the robot do the actual task of solving the maze and reaching

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the goal.

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This will be done in motion planning.

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Now, what is motion planning in similar terms?

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It is finding a sequence of configurations, speed and angle of a car in a 2D space to move the robot

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to the goal.

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For robot navigation, this means moving the robot from source to destination while avoiding obstacles

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along the way.

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Now, let's address the issue here.

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You mentioned before that we extracted everything that we required.

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Well, not quite for the robot.

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We did extract the robot location, but we are still missing its orientation.

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And to get the complete robot tools, we required both its location and the robot orientation.

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So we will need to figure out a way to get the robot orientation.

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So how do we propose to perform motion planning for our kids?

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For that, we will need to look at what our cases.

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You mentioned before that you were using a differential drive board in a 2D space.

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This means that speed and angle of the car can be controlled.

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Also, we did extract the robot location previously.

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Here we are assuming that there is no uncertainty in the robot location that we just expected.

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Looking at this case.

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Following are the two goals that we want to achieve for this module.

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Number one, we extract the robot orientation at each iteration.

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And number two, we develop a system that moves the robot through the maze exit.