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RRT1.m
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RRT1.m
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function [Wp] = RRT1(x,y,x_goal,y_goal,x_obs,y_obs,obstacle_dim)
flag_plots = 0;
x_max = 30;
y_max = 30;
obstacle = zeros(length(x_obs),4);
for j = 1:length(x_obs)
obstacle(j,:) = [x_obs(j),y_obs(j),obstacle_dim(j,1),obstacle_dim(j,2)];
end
EPS = 3;%0.5;
numNodes = 2000;%1500;
q_start.coord = zeros(2,1);
q_start.coord(1) = x;
q_start.coord(2) = y;
q_start.cost = 0;
q_start.parent = 0;
q_goal.coord = zeros(2,1);
q_goal.coord(1) = x_goal;
q_goal.coord(2) = y_goal;
q_goal.cost = 0;
nodes(1) = q_start;
if flag_plots == 1
for j = 1:length(x_obs)
rectangle('Position',obstacle(j,:),'FaceColor',[.8 .8 .8],'EdgeColor',[.7 .7 .7])
end
axis equal
hold on
end
h_waitbar = waitbar(0, 'Planning...');
for i = 1:1:numNodes
q_rand = [(rand(1)*x_max) (rand(1)*y_max)];
% q_rand = [2*randunif(1)+x 2*randunif(1)+y];
if flag_plots == 1
plot(q_rand(1), q_rand(2), 'x', 'Color', [0 0.4470 0.7410])
end
% Break if goal node is already reached
for j = 1:1:length(nodes)
if nodes(j).coord == q_goal.coord
break
end
end
% Pick the closest node from existing list to branch out from
ndist = [];
for j = 1:1:length(nodes)
n = nodes(j);
tmp = dist1(n.coord, q_rand);
ndist = [ndist tmp];
end
[val, idx] = min(ndist);
q_near = nodes(idx);
q_new.coord = steer(q_rand, q_near.coord, val, EPS);
if noCollision(q_rand, q_near.coord, obstacle)
if flag_plots == 1
line([q_near.coord(1), q_new.coord(1)], [q_near.coord(2), q_new.coord(2)], 'Color', 'k', 'LineWidth', 2);
drawnow
hold on
end
q_new.cost = dist1(q_new.coord, q_near.coord) + q_near.cost;
% Within a radius of r, find all existing nodes
q_nearest = [];
r = 60;
neighbor_count = 1;
for j = 1:1:length(nodes)
if noCollision(nodes(j).coord, q_new.coord, obstacle) && dist1(nodes(j).coord, q_new.coord) <= r
q_nearest(neighbor_count).coord = nodes(j).coord;
q_nearest(neighbor_count).cost = nodes(j).cost;
neighbor_count = neighbor_count+1;
end
end
% Initialize cost to currently known value
q_min = q_near;
C_min = q_new.cost;
% Iterate through all nearest neighbors to find alternate lower
% cost paths
for k = 1:1:length(q_nearest)
if noCollision(q_nearest(k).coord, q_new.coord, obstacle) && q_nearest(k).cost + dist1(q_nearest(k).coord, q_new.coord) < C_min
q_min = q_nearest(k);
C_min = q_nearest(k).cost + dist1(q_nearest(k).coord, q_new.coord);
if flag_plots == 1
line([q_min.coord(1), q_new.coord(1)], [q_min.coord(2), q_new.coord(2)], 'Color', 'g');
end
% hold on
end
end
% Update parent to least cost-from node
for j = 1:1:length(nodes)
if nodes(j).coord == q_min.coord
q_new.parent = j;
end
end
% Append to nodes
nodes = [nodes q_new];
end
waitbar(i/(numNodes-1));
end
D = [];
for j = 1:1:length(nodes)
tmpdist = dist1(nodes(j).coord, q_goal.coord);
D = [D tmpdist];
end
% Search backwards from goal to start to find the optimal least cost path
[val, idx] = min(D);
q_final = nodes(idx);
q_goal.parent = idx;
q_end = q_goal;
nodes = [nodes q_goal];
i = 0 ;
while q_end.parent ~= 0
start = q_end.parent;
% if flag_plots == 1
line([q_end.coord(1), nodes(start).coord(1)], [q_end.coord(2), nodes(start).coord(2)], 'Color', 'r', 'LineWidth', 2);
hold on
% end
q_end = nodes(start);
i = i+1;
end
%Wp = zeros(i,2);
q_end = q_goal;
nodes = [nodes q_goal];
k=0;
while q_end.parent ~= 0
k = k+1;
start = q_end.parent;
% Q = q_end
q_end = nodes(start);
Wp(k,:) = q_end.coord;
end
close(h_waitbar);
end