-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathsnake_obs.m
More file actions
230 lines (212 loc) · 6.47 KB
/
snake_obs.m
File metadata and controls
230 lines (212 loc) · 6.47 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
%蛇型ロボットの各パラメータ
num_joint = 30;
length_quarter = 5.0;
alpha_yaw = pi/4;
alpha_pitch = 0.0;
dim = 2;
snake = SnakeRobot(num_joint, length_quarter, alpha_yaw, alpha_pitch, dim);
snake.changeVel(1);
%障害物の設定
%obs2d=[r, x, y, flag(1:+, -1:-, 0:未定)]
obs2d=[10, 45, 0, 0;
8, 90, 0, 0];
%目標値と現在地の許容誤差
error = 1;
%とりあえずサーペノイド曲線を生成
for i=1:150
snake.updateModel();
end
%障害物の設定
obsData=[0, 0];
obs_map=zeros(400, 400);
offset_x_obs=200;
offset_y_obs=200;
for i=1:size(obs2d, 1)
r=obs2d(i,1);
x0=obs2d(i,2);
y0=obs2d(i,3);
for x=x0-r:0.1:x0+r
y_max=y0+sqrt(r^2-(x-x0)^2);
y_min=y0-sqrt(r^2-(x-x0)^2);
x_=round(x);
y_min_=round(y_min+offset_y_obs);
y_max_=round(y_max+offset_y_obs);
x_=round(x+offset_x_obs);
obs_map(x_, y_min_:y_max_)=1;
obsData=[obsData;
x, y_min;
x, y_max];
end
end
obsData=obsData(1:end, :);
%負荷グラフの作成
%trajectory_load=[x, load]
trajectory_load=[0, 0];
% for i=1:size(snake.snake_pathlog, 1)
% x_path=round(snake.snake_pathlog(i, 1))+offset_x_obs;
% y_path=round(snake.snake_pathlog(i, 2))+offset_y_obs;
% %disp([x_path-offset_x_obs, y_path-offset_y_obs])
% if obs_map(x_path, y_path) == 1
% nearest_obs=findNearestObs(obs2d, snake.snake_pathlog(i, 1), snake.snake_pathlog(i, 2));
% r=nearest_obs(1, 1);
% x0=nearest_obs(1, 2);
% y0=nearest_obs(1, 3);
% %disp([x0 y0, x_path, y_path])
% temp_y=y0+sqrt(r^2-(snake.snake_pathlog(i, 1)-x0)^2);
% disp(nearest_obs)
% load=temp_y-snake.snake_pathlog(i, 2);
% else
% load=0;
% end
% trajectory_load=[trajectory_load;
% snake.snake_pathlog(i, 1), load];
% end
for i=1:size(snake.snake_pathlog, 1)
% %符号の決定
% for k=1:size(obs2d, 1)
% if obs2d(k, 4)==0
% if snake.snake_pathlog(i, 2)>0
% obs2d(k, 4)=1;
% else
% disp([snake.snake_pathlog(i, 1), snake.snake_pathlog(i, 2)])
% obs2d(k, 4)=-1;
% end
% end
% end
%nearest=[flag(障害物内に入っているかの判定), obs]
serpen_x_=snake.snake_pathlog(i, 1);
serpen_y_=snake.snake_pathlog(i, 2);
dist=sqrt((serpen_x_-obs2d(1, 2))^2+(serpen_y_-obs2d(1, 3))^2);
if dist<obs2d(1, 1)
%符号の決定
if obs2d(1, 4)==0
if snake.snake_pathlog(i, 2)>0
obs2d(1, 4)=1;
else
obs2d(1, 4)=-1;
end
end
nearest=[1, obs2d(1,:)];
else
nearest=[0, obs2d(1,:)];
end
min_dist=sqrt((serpen_x_-obs2d(1, 2))^2+(serpen_y_-obs2d(1, 3))^2);
for k=2:size(obs2d, 1)
dist=sqrt((serpen_x_-obs2d(k, 2))^2+(serpen_y_-obs2d(k, 3))^2);
if dist<min_dist
if dist<obs2d(k, 1)
%符号の決定
if obs2d(k, 4)==0
if snake.snake_pathlog(i, 2)>0
obs2d(k, 4)=1;
else
obs2d(k, 4)=-1;
end
end
nearest=[1, obs2d(k, :)];
else
nearest=[0, obs2d(k, :)];
end
min_dist=dist;
end
end
nearest_obs=nearest;
%nearest_obs=findNearestObs(obs2d, snake.snake_pathlog(i, 1), snake.snake_pathlog(i, 2));
if nearest_obs(1, 1) == 1
r=nearest_obs(1, 2);
x0=nearest_obs(1, 3);
y0=nearest_obs(1, 4);
if nearest_obs(1, 5)==1
temp_y=y0+sqrt(r^2-(snake.snake_pathlog(i, 1)-x0)^2);
else
temp_y=y0-sqrt(r^2-(snake.snake_pathlog(i, 1)-x0)^2);
end
load=temp_y-snake.snake_pathlog(i, 2);
else
load=0;
end
trajectory_load=[trajectory_load;
snake.snake_pathlog(i, 1), load];
end
trajectory_load=trajectory_load(2:end, :);
% % %一階微分
% dydx = diff(trajectory_load(:,2))./diff(trajectory_load(:,1));
% plot(trajectory_load(2:end,1),dydx)
% % %二階微分
% dydx2 = diff(dydx)./diff(trajectory_load(2:end,1));
% plot(trajectory_load(3:end,1),dydx2)
avoidance_pathlog=snake.snake_pathlog;
avoidance_pathlog(:, 2)=avoidance_pathlog(:, 2)+trajectory_load(:, 2);
%グラフの表示
tiledlayout(2, 2)
nexttile
plot(obsData(:, 1), obsData(:, 2),'b')
hold on
plot(snake.snake_pathlog(:, 1), snake.snake_pathlog(:, 2), 'r')
grid on
axis equal
title('not activate avoidance')
hold off
nexttile
plot(obsData(:, 1), obsData(:, 2),'b')
hold on
plot(snake.snake_pathlog(:, 1), snake.snake_pathlog(:, 2), 'r')
plot(trajectory_load(:, 1), trajectory_load(:, 2), 'g')
axis equal
grid on
hold off
title('load compound')
nexttile
plot(trajectory_load(:, 1), trajectory_load(:, 2), 'g')
axis equal
grid on
title('load')
% nexttile
% trajectory_load_smooth=smoothdata(trajectory_load, 1);
% plot(trajectory_load_smooth(:, 1), trajectory_load_smooth(:, 2))
% axis equal
% grid on
% title('smooth load')
nexttile
plot(obsData(:, 1), obsData(:, 2),'b')
hold on
plot(avoidance_pathlog(:, 1), avoidance_pathlog(:, 2), 'r')
axis equal
grid on
title('activate avoidance')
hold off
% nexttile
% plot(trajectory_load_diff1(:, 1), trajectory_load_diff2(:, 2));
% axis equal
% grid on
% title('trajectory_load_diff1')
%
% nexttile
% plot(trajectory_load_diff2(:, 1), trajectory_load_diff2(:, 1));
% axis equal
% grid on
% title('trajectory_load_diff2')
%dtheta/dtを決定
% function ans_obs=findNearestObs(obs_, serpen_x_, serpen_y_)
% %nearest=[flag(障害物内に入っているかの判定), obs]
% dist=sqrt((serpen_x_-obs_(1, 2))^2+(serpen_y_-obs_(1, 3))^2);
% if dist<obs_(1, 1)
% nearest=[1, obs_(1,:)];
% else
% nearest=[0, obs_(1,:)];
% end
% min_dist=sqrt((serpen_x_-obs_(1, 2))^2+(serpen_y_-obs_(1, 3))^2);
% for i=2:size(obs_, 1)
% dist=sqrt((serpen_x_-obs_(i, 2))^2+(serpen_y_-obs_(i, 3))^2);
% if dist<min_dist
% if dist<obs_(i, 1)
% nearest=[1, obs_(i, :)];
% else
% nearest=[0, obs_(i, :)];
% end
% min_dist=dist;
% end
% end
%
% ans_obs=nearest;
% end