Walking Robot Simulation | Detailed Simulation | Leetcode 874 | codestorywithMIK
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This is the 106th Video of our Playlist "Array 1D/2D : Popular Interview Problems" by codestorywithMIK
In this video we will try to solve a simple Simulation Array Problem : Walking Robot Simulation | Detailed Simulation | Leetcode 874 | codestorywithMIK
I will explain the intuition so easily that you will never forget and start seeing this as cakewalk EASYYY.
We will do live coding after explanation and see if we are able to pass all the test cases.
Also, please note that my Github solution link below contains both C++ as well as JAVA code.
Problem Name : Walking Robot Simulation | Detailed Simulation | Leetcode 874 | codestorywithMIK
Company Tags : Jane Street
My solutions on Github(C++ & JAVA) - https://github.com/MAZHARMIK/Intervie...
Leetcode Link : https://leetcode.com/problems/walking...
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Summary :
The solution simulates the movement of a robot on a 2D grid. The robot starts at the origin (0, 0) and can move in four directions: North, South, East, and West. It follows a series of movement commands and must avoid obstacles placed on the grid.
Obstacle Representation: Obstacles are stored in a HashSet String where each obstacle's coordinates are represented as a string in the format "x_y". This allows efficient lookup to check if a given coordinate has an obstacle.
Direction Management: The robot's current direction is managed using a 2-element array (dir[]). Initially, the robot is facing North, represented by {0, 1}. Turning left or right adjusts the direction vector accordingly.
Command Execution:
For left (-2) and right (-1) turns, the direction vector is updated.
For positive movement commands, the robot moves step by step in the current direction. If it encounters an obstacle, it stops moving in that direction.
Distance Calculation: After processing each command, the solution calculates the robot's Euclidean distance from the origin (using the formula x² + y²) and keeps track of the maximum distance reached.
Final Result: The solution returns the maximum distance the robot has traveled from the origin during the simulation.
This approach ensures that the robot's movement is correctly simulated while efficiently handling obstacles using a set for quick lookups.
✨ Timelines✨
00:00 - Introduction
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