63. Unique Paths II LeetCode Solution
In this guide, you will get 63. Unique Paths II LeetCode Solution with the best time and space complexity. The solution to Unique Paths II problem is provided in various programming languages like C++, Java, and Python. This will be helpful for you if you are preparing for placements, hackathons, interviews, or practice purposes. The solutions provided here are very easy to follow and include detailed explanations.
Table of Contents
- Problem Statement
- Complexity Analysis
- Unique Paths II solution in C++
- Unique Paths II solution in Java
- Unique Paths II solution in Python
- Additional Resources

Problem Statement of Unique Paths II
You are given an m x n integer array grid. There is a robot initially located at the top-left corner (i.e., grid[0][0]). The robot tries to move to the bottom-right corner (i.e., grid[m – 1][n – 1]). The robot can only move either down or right at any point in time.
An obstacle and space are marked as 1 or 0 respectively in grid. A path that the robot takes cannot include any square that is an obstacle.
Return the number of possible unique paths that the robot can take to reach the bottom-right corner.
The testcases are generated so that the answer will be less than or equal to 2 * 109.
Example 1:
Input: obstacleGrid = [[0,0,0],[0,1,0],[0,0,0]]
Output: 2
Explanation: There is one obstacle in the middle of the 3×3 grid above.
There are two ways to reach the bottom-right corner:
1. Right -> Right -> Down -> Down
2. Down -> Down -> Right -> Right
Example 2:
Input: obstacleGrid = [[0,1],[0,0]]
Output: 1
Constraints:
m == obstacleGrid.length
n == obstacleGrid[i].length
1 <= m, n <= 100
obstacleGrid[i][j] is 0 or 1.
Complexity Analysis
- Time Complexity: O(mn)
- Space Complexity: O(mn)
63. Unique Paths II LeetCode Solution in C++
class Solution {
public:
int uniquePathsWithObstacles(vector<vector<int>>& obstacleGrid) {
const int m = obstacleGrid.size();
const int n = obstacleGrid[0].size();
// dp[i][j] := the number of unique paths from (0, 0) to (i, j)
vector<vector<long>> dp(m + 1, vector<long>(n + 1, 0));
dp[0][1] = 1; // Can also set dp[1][0] = 1.
for (int i = 1; i <= m; ++i)
for (int j = 1; j <= n; ++j)
if (!obstacleGrid[i - 1][j - 1])
dp[i][j] = dp[i - 1][j] + dp[i][j - 1];
return dp[m][n];
}
};
/* code provided by PROGIEZ */
63. Unique Paths II LeetCode Solution in Java
class Solution {
public int uniquePathsWithObstacles(int[][] obstacleGrid) {
final int m = obstacleGrid.length;
final int n = obstacleGrid[0].length;
// dp[i][j] := the number of unique paths from (0, 0) to (i, j)
long[][] dp = new long[m + 1][n + 1];
dp[0][1] = 1; // Can also set dp[1][0] = 1.
for (int i = 1; i <= m; ++i)
for (int j = 1; j <= n; ++j)
if (obstacleGrid[i - 1][j - 1] == 0)
dp[i][j] = dp[i - 1][j] + dp[i][j - 1];
return (int) dp[m][n];
}
}
// code provided by PROGIEZ
63. Unique Paths II LeetCode Solution in Python
class Solution:
def uniquePathsWithObstacles(self, obstacleGrid: list[list[int]]) -> int:
m = len(obstacleGrid)
n = len(obstacleGrid[0])
# dp[i][j] := the number of unique paths from (0, 0) to (i, j)
dp = [[0] * (n + 1) for _ in range(m + 1)]
dp[0][1] = 1 # Can also set dp[1][0] = 1.
for i in range(1, m + 1):
for j in range(1, n + 1):
if obstacleGrid[i - 1][j - 1] == 0:
dp[i][j] = dp[i - 1][j] + dp[i][j - 1]
return dp[m][n]
# code by PROGIEZ
Additional Resources
- Explore all LeetCode problem solutions at Progiez here
- Explore all problems on LeetCode website here
Happy Coding! Keep following PROGIEZ for more updates and solutions.