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Multi-agent interaction planning
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Larkin Heintzman
Multi-agent interaction planning
Commits
6de25905
Commit
6de25905
authored
Dec 10, 2019
by
Larkin Heintzman
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parent
282a6440
Pipeline
#28
canceled with stages
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getNewConfig.m
Matlab Code/getNewConfig.m
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Matlab Code/getNewConfig.m
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6de25905
function
q_new
=
getNewConfig
(
q_near
,
q_rand
,
dist_inc
,
obs_points
,
dx
)
% get unit vec
vec
=
(
q_rand
-
q_near
)
.
/
norm
(
q_rand
-
q_near
);
total_len
=
norm
(
q_rand
-
q_near
);
% scale unit vec
vec
=
dx
.*
vec
;
% check for collisions
step_num
=
ceil
(
min
(
dist_inc
,
total_len
)/
dx
);
% number of steps of dx to get to the distance increment
test_pt
=
q_near
;
% starting position for collision detection
for
i
=
1
:
step_num
test_pt
=
test_pt
+
vec
;
% take a step
% look for collisions (there is a faster way to do this, i am sure)
dists
=
sqrt
((
test_pt
(
1
)
-
obs_points
(:,
1
))
.^
2
+
(
test_pt
(
2
)
-
obs_points
(:,
2
))
.^
2
);
if
any
(
dists
<=
dx
)
% collision!
if
i
==
1
q_new
=
[];
% if its on the first iteration, no new config
return
;
end
q_new
=
test_pt
-
vec
;
return
;
end
end
% we made it!
q_new
=
test_pt
;
end
\ No newline at end of file
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