Question

The following figure shows a robot in a grid of squares. The robot is represented as a triangle, which is initially in the lower left corner and facing toward the top of the grid. The robot cannot move into a black region.
Goal
10
Mark for Review
Which of the following code segments will move the robot to the square labeled "Goal"?
moveAndTurn 1, 2
moveAndTurn 3, 4
moveAndTurn o, 2
A
Consider the procedure moveAndTurn.
PROCEDURE moveAndTurn numMoves, numTurns
REPEAT numMoves TIMES
MOVE _FORWARD
REPEAT numTurns TIMES (ROTATE_RIGHT)
Which of the following code segments will move the robot to the square labeled "Goal"?
Goal
moveAndTurn 1, 2 moveAndTurn 3,
4
moveAndTurn 0,
2
moveAndTurn 2, 1
moveAndTurn 4, 1
moveAndTurn 2, 0
A
Consider the procedure moveAndTurn.
PROCEDURE moveAndTurn numMoves, numTurns
REPEAT numMoves TIMES
MOVE _FORWARD
REPEAT numTurns TIMES (ROTATE_RIGHT)
moveAndTurn 3, 1
moveAndTurn 5, 3
moveAndrurn 3, 0
D
moveAndTurn 2, 1
moveAndTurn 4, 3
moveAndTurn 2, 0

Answers

Answered by GPT-4o mini
To determine which code segments will move the robot to the square labeled "Goal," we'll first need to understand how the robot operates according to the `moveAndTurn` procedure.

The robot starts in the lower left corner of the grid, facing "up" (toward the top of the grid). The `moveAndTurn` procedure has two parameters: `numMoves` (how many squares to move forward) and `numTurns` (how many times to rotate to the right). Each rotation to the right will change the robot's facing direction.

Here's a breakdown of how the robot moves based on the provided code segments:

1. **`moveAndTurn numMoves, numTurns`** means:
- MOVE _FORWARD `numMoves` times.
- After moving, it will ROTATE_RIGHT `numTurns` times.

Let's analyze the options to see if they can lead the robot to the "Goal."

### Analyzing each code segment:

1. **moveAndTurn(1, 2)**
- Move forward 1 square (now at (0,1)).
- Rotate right 2 times (now facing left).

2. **moveAndTurn(3, 4)**
- Move forward 3 squares (now at (-3,1) - not possible as it goes out of bounds).
- Rotate right 4 times (facing up again).

3. **moveAndTurn(0, 2)**
- Do not move (stays at (0,0)).
- Rotate right 2 times (now facing left).

4. **moveAndTurn(2, 1)**
- Move forward 2 squares (now at (0,2)).
- Rotate right 1 time (now facing right).

5. **moveAndTurn(4, 1)**
- Move forward 4 squares (out of bounds again).
- Rotate right 1 time.

6. **moveAndTurn(2, 0)**
- Move forward 2 squares (now at (0,2)).
- No turns (still facing up).

Next set:

1. **moveAndTurn(3, 1)**
- Move forward 3 squares (now at (0,3)).
- Rotate right 1 time (facing right).

2. **moveAndTurn(5, 3)**
- Move forward 5 squares (out of bounds).
- Rotate right 3 times.

3. **moveAndTurn(3, 0)**
- Move forward 3 squares (now at (0,3)).
- No turns.

4. **moveAndTurn(2, 1)**
- Move forward 2 squares (now at (0,2)).
- Rotate right once (facing right).

5. **moveAndTurn(4, 3)**
- Move forward 4 squares (out of bounds).
- Rotate right 3 times.

6. **moveAndTurn(2, 0)**
- Move forward 2 squares (now at (0,2)).
- No turns.

### Conclusion:

The movements that would eventually navigate without hitting the black regions and reach the goal (if the grid allows) are:

- **`moveAndTurn(2, 1)`: will move to (0,2) and turn (facing right).**
- **`moveAndTurn(2, 0)`: will also move to (0,2) without turning.**

However, assuming there are better crisscross options to reach the square labeled "Goal" based on allowed pathways and turns, you would need to execute a combination of forward moves and right rotations effectively.

Based on typical grid scenarios, the movement segments that stay within the bounds and respect the given "Goal" would logically leverage up to 3 moves and 1 turn or progress right on the 0 moves segment.

Thus, any up to **`moveAndTurn(2, 1)` or logical iterations that keep the robot within the pathway and hitting resultant squares to reach the final square** might be concluded based on those parameters.

Ultimately, actual output scenarios will be determined by the physical layout, but the robot's fundamental movement code reveals patterns required for channeling along to the desired output grid.

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