用matlab写一个可以自定义地图的agv路径规划算法，要求具体代码

以下是一个简单的基于Dijkstra算法的AGV路径规划算法的MATLAB代码，该算法可以接受自定义地图：

% AGV Path Planning Algorithm based on Dijkstra's Algorithm
% Copyright (c) 2021, [Your Name]
% All rights reserved.

% Define the map
map = [1 1 1 1 1 1;
       1 0 0 0 0 1;
       1 0 1 1 0 1;
       1 0 0 1 0 1;
       1 1 1 1 0 1;
       1 1 1 1 1 1];

% Define the starting and ending points
start = [2,2];
goal = [5,5];

% Define the cost of moving between cells
cost = ones(size(map));
cost(map == 1) = Inf;

% Initialize the distance and visited arrays
distance = Inf(size(map));
visited = zeros(size(map));

% Set the distance of the starting point to zero
distance(start(1), start(2)) = 0;

% Initialize the path array
path = zeros(size(map));

% Loop until the goal is reached or all nodes have been visited
while ~isequal(visited, ones(size(map)))
    
    % Find the node with the smallest distance
    min_distance = Inf;
    for i = 1:size(map,1)
        for j = 1:size(map,2)
            if visited(i,j) == 0 && distance(i,j) <= min_distance
                min_distance = distance(i,j);
                current = [i,j];
            end
        end
    end
    
    % Mark the current node as visited
    visited(current(1),current(2)) = 1;
    
    % Check if the goal has been reached
    if isequal(current, goal)
        break;
    end
    
    % Update the distances of neighboring nodes
    neighbors = get_neighbors(current, map);
    for i = 1:size(neighbors,1)
        neighbor = neighbors(i,:);
        alt_distance = distance(current(1),current(2)) + cost(neighbor(1),neighbor(2));
        if alt_distance < distance(neighbor(1),neighbor(2))
            distance(neighbor(1),neighbor(2)) = alt_distance;
            path(neighbor(1),neighbor(2)) = sub2ind(size(map),current(1),current(2));
        end
    end
    
end

% Construct the path
if isequal(current, goal)
    p = goal;
    while ~isequal(p, start)
        p = ind2sub(size(map),path(p(1),p(2)));
        path(p(1),p(2)) = Inf;
    end
    path(start(1),start(2)) = Inf;
end

% Plot the map and path
figure();
imagesc(map);
colormap(flipud(gray));
hold on;
[x,y] = find(path == Inf);
plot(y,x,'r','LineWidth',2);

该算法使用Dijkstra算法计算从起点到终点的最短路径。在此过程中，我们遍历地图上的每个节点，记录到达每个节点时的最短距离，并使用路径数组记录路径。最后，我们使用路径数组构建路径并在地图上绘制出来。

您可以根据需要自定义地图，只需更改`map`数组即可。您还可以更改`cost`数组来定义移动各个节点的成本。