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33num1

013510-1090

1datamapmany1data lists

1

1

110i

This script allowstherobottoescapemazeoneby turning left then moving 7 steps forward then turning right then moving7steps forward Nikita Ryzhov and Maab Hassan pd8.

7Nikita Ryzhovand Maab Hassan pd8 This script solves maze 2 by followinf the dry principle andusing simplecommands such as move forward rotate right and rotate left..

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Nikita Ryzhov pd8 This script solves maze 3 using the dry principle. Since the maze has a lot of repetition we can make the code very simple using only one repeat block.

Nikita Ryzhov pd 8 This script solves maze 4 using the dry principle and nested loops. I alos tried to use the least lines of code possible.

3Nikit Ryzhov pd8 This solves maze6 usinga for i loop tomake it more elegant.

Nikita Ryzhov pd 8. This block solves maze 5. I tried to use the least amount of lines but i dont know if it worked.

i21i23i21401,0,0,0,0,0,0,01,0,0,0,0,0,0,01,0,0,0,0,0,0,01,0,0,0,0,0,0,01,1,1,1,1,0,0,00,0,0,0,1,0,0,00,0,0,0,1,0,0,00,0,0,0,1,1,1,1