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7Edit these remaining blocks to solve other mazes. Be sure to swap with "Escape Maze 1" block.Click on the Board sprite to access the maze drawing blocks.These 5 mazes are already created for you.Replace the "Draw Maze 1" block with these blocks to display the other mazes. forward turn turnLeft setHeading doFaceTowards gotoXY doGotoObject doGlide changeXPosition setXPosition changeYPosition setYPosition bounceOffEdge xPosition yPosition direction013510-10901datamapmany1data lists11110iThe purpose of this abstraction block is to help robot escape from Maze 2. It rotates to left first, and then moves forward. Rotates to right and moves forward. It repeated 7 times.
Jiani Shen The purpose of this abstraction block is to help the robot escape from the Maze 3. It rotates left first and then moves forward three times. Then, rotates right and moves fforward three times. Next, it rotates to left and moves forward four times. Then, rotates to right and moves forward four times.
Jiani Shen The purpose of this abstraction block is to help the robot escape from Maze 5. It followes the path of white space.
Jiani Shen i3744The purpose of this abstraction block is to reduce the complexity of the code and to help the robot escapes. I used a nested loop and repeated "repeat 7 move forward, rotatae right" twice.
Jiani ShenThe purpose of this abstraction block is to help the robot escape from Maze 4. It moves forward first and then rotates to left, then moves forward. Rotates to right, moves forward twice. Rotates to left, moves forward twice. Rotates to right, moves forward three times same as rotates to left. Roates to right and moves forward. Rotates to left and moves forward.
Jiani Shen i34i3440140,-1400,0,0,0,0,0,0,00,0,0,0,0,0,0,00,0,0,0,0,0,0,00,0,0,0,0,0,0,00,0,0,0,0,0,0,00,0,0,0,0,0,0,00,0,0,0,0,0,0,00,0,0,0,0,0,0,000