Path Planning Implementation Using Depth-First Search Algorithm

In this project, we implemented path planning using the depth-first search (DFS) algorithm. This algorithm enables exploration from the starting point through all potential paths until discovering a viable route to the target destination. During implementation, we treat each coordinate point as a graph node and employ DFS traversal with backtracking mechanism. The algorithm recursively explores each possible direction while maintaining a visited nodes registry to prevent cycles. When encountering obstacles, the system automatically marks them as inaccessible nodes and continues exploration through alternative branches. Key functions include neighbor node validation, path backtracking, and goal state checking. This approach guarantees finding a feasible path while ensuring complete obstacle avoidance. Specifically, at each node we check for valid adjacent moves using boundary checks and obstacle detection, then proceed recursively until either reaching the target or exhausting all possibilities. The DFS algorithm proves particularly effective for path planning in complex terrains with multiple obstacles due to its systematic exploration nature and memory-efficient stack-based implementation.