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How to Solve Walking Robot Simulation II Problem
Master the Walking Robot Simulation II LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Medium#2069
LeetCode ProblemWalking Robot Simulation II
A width x height grid is on an XY-plane with the bottom-left cell at (0, 0) and the top-right cell at (width - 1, height - 1). The grid is aligned with the four cardinal directions ("North", "East", "South", and "West"). A robot is initially at cell (0, 0) facing direction "East". The robot can be instructed to move for a specific number of steps. For each step, it does the following. After the robot finishes moving the number of steps required, it stops and awaits the next instruction. Implement the Robot class:
DesignSimulation
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Problem Breakdown
Understanding the Walking Robot Simulation II Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
A width x height grid is on an XY-plane with the bottom-left cell at (0, 0) and the top-right cell at (width - 1, height - 1). The grid is aligned with the four cardinal directions ("North", "East", "South", and "West"). A robot is initially at cell (0, 0) facing direction "East". The robot can be instructed to move for a specific number of steps. For each step, it does the following. After the robot finishes moving the number of steps required, it stops and awaits the next instruction. Implement the Robot class:
MediumProblem #2069
LeetCodeWalking Robot Simulation II
Related Topics
DesignSimulation
How Phantom Code AI Helps
Get real-time assistance for Walking Robot Simulation II problems during coding interviews. Phantom Code AI provides instant solutions and explanations.
Examples
# Example 1
Input
—
Output
—
Constraints
2 <= width, height <= 100
1 <= num <= 105
At most 104 calls in total will be made to step, getPos, and getDir.
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Solve Walking Robot Simulation II — A width x height grid is on an XY-plane with the bottom-left cell at (0, 0) and ...
Here's the optimal approach using Design:
def solve(input):
# Optimal O(n) solution
return result
Time: O(n) | Space: O(n)
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Frequently Asked Questions
Common questions about solving Walking Robot Simulation II and using Phantom Code AI during coding interviews.
How does Phantom Code AI help me solve coding problems like Walking Robot Simulation II during interviews?
Phantom Code AI generates complete solutions instantly with proper complexity analysis, letting you focus on explaining your approach and demonstrating problem-solving skills rather than getting stuck on implementation details during high-pressure situations.
What if the interviewer asks follow-up questions or modifications to problems like Walking Robot Simulation II?
Phantom Code AI adapts in real-time. Screenshot the modified problem or use audio mode to capture the interviewer's follow-up, and get an updated solution within seconds — including edge cases and optimizations.
Can Phantom Code AI help me communicate my solution for problems like Walking Robot Simulation II?
Yes. Phantom Code AI provides step-by-step approach explanations with 3 progressive thoughts, so you can walk through your solution naturally. It also provides time and space complexity analysis to discuss trade-offs.
How does Phantom Code AI assist with different programming languages for Walking Robot Simulation II type problems?
Phantom Code AI supports 11 programming languages including Python, Java, C++, JavaScript, TypeScript, Go, Rust, Ruby, Swift, Kotlin, and C#. Set your preferred language and get idiomatic solutions.
What coding mistakes does Phantom Code AI help me avoid during Walking Robot Simulation II interviews?
Phantom Code AI catches common mistakes like off-by-one errors, missing edge cases, incorrect base conditions, and suboptimal approaches. It provides clean, well-structured code that handles all edge cases.
Is Phantom Code AI detectable when solving problems like Walking Robot Simulation II during live interviews?
No. Phantom Code AI runs as an invisible desktop overlay that doesn't appear in screen shares, recordings, or proctoring software. It works with Zoom, HackerRank, CodeSignal, CoderPad, and all major platforms.
How does Phantom Code AI help when I'm struggling with Walking Robot Simulation II style questions under pressure?
The AI provides structured guidance: first the approach (what algorithm/data structure to use and why), then the implementation with clean code, and finally complexity analysis. This helps you think clearly even under pressure.
Does Phantom Code AI work for the coding platforms used in Walking Robot Simulation II interviews?
Yes. Phantom Code AI works with all major coding platforms including LeetCode, HackerRank, CodeSignal, CoderPad, HackerEarth, and any browser-based coding environment.
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