Stack Applications

Stacks have various applications in robotics and computer vision. Let's explore some of them:

1. Path Planning

In robotics, stack data structures are commonly used for path planning algorithms. One such algorithm is the Depth-First Search (DFS) algorithm. DFS explores a graph by traversing as far as possible along each branch before backtracking. This algorithm uses a stack to keep track of visited nodes and their neighbors. By using a stack, the DFS algorithm can effectively explore and find paths in complex environments.

Here is an example of how the DFS algorithm can be used for path planning in robotics using a stack:

1def dfs(graph, start, goal):
2    stack = []
3    visited = set()
4    stack.append(start)
5    while stack:
6        node = stack.pop()
7        if node not in visited:
8            if node == goal:
9                return True
10            visited.add(node)
11            stack.extend(graph[node])
12    return False
13
14# Define a graph
15graph = {
16    'A': ['B', 'C'],
17    'B': ['D', 'E'],
18    'C': ['F'],
19    'D': [],
20    'E': [],
21    'F': []
22}
23
24# Find a path from node 'A' to node 'F' using DFS
25path_exists = dfs(graph, 'A', 'F')
26print(path_exists)  # Output: True

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