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???? LeetCode Problem of the Day: Walking Robot Simulation
In today's LeetCode daily challenge, we explore the problem of simulating a walking robot's movements on a grid with obstacles, written in Java.
???? Problem Link: https://leetcode.com/problems/walking-robot-simulation/description/?envType=daily-question&envId=2024-09-04
???? Solution: Pinned on the comments
???? Problem Description:
You are given an array of commands and an array of obstacles. The robot starts at the origin (0, 0) and faces north. The commands array can contain:
-2: Turn left 90 degrees.
-1: Turn right 90 degrees.
positive integer x: Move forward x units.
The goal is to determine the maximum Euclidean distance squared from the origin that the robot can reach, considering the obstacles.
???? Key Points:
Direction Handling: The robot's direction is managed using a dir variable, which tracks the current facing direction.
Obstacle Detection: Obstacles are stored in a HashSet for O(1) lookup, allowing the robot to avoid colliding with them.
Distance Calculation: The maximum distance from the origin is calculated by checking the squared sum of the current coordinates whenever the robot moves.
???? Code Explanation:
Direction Mapping: An array d is used to store the possible movements corresponding to each direction (north, east, south, west).
Obstacle Set: The obstacles are stored as strings in a HashSet to allow for quick checks during movement.
Simulation Loop: The robot processes each command, updating its position and checking for obstacles. The maximum squared distance from the origin is recorded during the simulation.
???? Daily Solutions:
Subscribe and hit the bell icon for daily LeetCode solutions, explained step-by-step!
???? Join the Community:
Share your thoughts on the problem in the comments.
Discuss different approaches with fellow coders.
If you enjoyed this video, please like, share, and subscribe for more daily coding challenges!
#LeetCode #Coding #Programming #TechInterview #RobotSimulation #DailyChallenge #Java
In today's LeetCode daily challenge, we explore the problem of simulating a walking robot's movements on a grid with obstacles, written in Java.
???? Problem Link: https://leetcode.com/problems/walking-robot-simulation/description/?envType=daily-question&envId=2024-09-04
???? Solution: Pinned on the comments
???? Problem Description:
You are given an array of commands and an array of obstacles. The robot starts at the origin (0, 0) and faces north. The commands array can contain:
-2: Turn left 90 degrees.
-1: Turn right 90 degrees.
positive integer x: Move forward x units.
The goal is to determine the maximum Euclidean distance squared from the origin that the robot can reach, considering the obstacles.
???? Key Points:
Direction Handling: The robot's direction is managed using a dir variable, which tracks the current facing direction.
Obstacle Detection: Obstacles are stored in a HashSet for O(1) lookup, allowing the robot to avoid colliding with them.
Distance Calculation: The maximum distance from the origin is calculated by checking the squared sum of the current coordinates whenever the robot moves.
???? Code Explanation:
Direction Mapping: An array d is used to store the possible movements corresponding to each direction (north, east, south, west).
Obstacle Set: The obstacles are stored as strings in a HashSet to allow for quick checks during movement.
Simulation Loop: The robot processes each command, updating its position and checking for obstacles. The maximum squared distance from the origin is recorded during the simulation.
???? Daily Solutions:
Subscribe and hit the bell icon for daily LeetCode solutions, explained step-by-step!
???? Join the Community:
Share your thoughts on the problem in the comments.
Discuss different approaches with fellow coders.
If you enjoyed this video, please like, share, and subscribe for more daily coding challenges!
#LeetCode #Coding #Programming #TechInterview #RobotSimulation #DailyChallenge #Java
- Категория
- Программирование на java
- Теги
- LeetCode, LeetCode Daily Challenge, Robot Simulation
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