Let's break down your requests step-by-step:
1. Handling X, Y Variables of Nodes in Grid_1
To handle the X, Y variables of all nodes randomly generated in grid_1 using a PRM (Probabilistic Roadmap), you can store the nodes in a matrix or array after they are generated. Here’s how you can do it:
% Define the grid (example size 10x10)
grid_1 = zeros(10, 10);
% Set the number of nodes
numNodes = 100;
% Generate random nodes
nodes = rand(numNodes, 2) .* size(grid_1);
% Store the nodes
x = nodes(:, 1);
y = nodes(:, 2);
% Display total number of paths (depends on PRM configuration)
prm = robotics.PRM;
prm.NumNodes = numNodes;
prm.ConnectionDistance = 2; % Example distance
% Generate roadmap
prm = robotics.PRM(grid_1, 'NumNodes', numNodes);
show(prm); % Visualize the PRM
% Get total number of paths
paths = prm.Connections;
numPaths = sum(sum(paths ~= 0)) / 2;
disp(['Total number of paths generated: ', num2str(numPaths)]);
2. Reproducing Nodes in Grid_2 and Handling Occupied Areas
To replicate nodes in grid_2 and filter out nodes that are in occupied areas, you can check the nodes against the occupancy grid and store only the valid ones:
% Define the second grid (example size 10x10 with some occupied areas)
grid_2 = zeros(10, 10);
grid_2(3:4, 3:4) = 1; % Example occupied area
% Initialize new node list
validNodes = [];
% Check each node
for i = 1:numNodes
if grid_2(round(nodes(i, 1)), round(nodes(i, 2))) == 0
validNodes = [validNodes; nodes(i, :)];
end
end
% Display number of valid nodes
disp(['Number of valid nodes in grid_2: ', num2str(size(validNodes, 1))]);
% Show valid nodes on grid_2
scatter(validNodes(:, 1), validNodes(:, 2), 'filled');
title('Valid Nodes in Grid 2');
Summary
-
Step 1: Store the X, Y coordinates of the generated nodes.
-
Step 2: Use
robotics.PRMto generate the roadmap and display the total number of paths. -
Step 3: Filter nodes based on their location in
grid_2, and store only the valid nodes.
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