forked from OskarLinde/scad-utils
-
Notifications
You must be signed in to change notification settings - Fork 48
/
trajectory_path.scad
89 lines (76 loc) · 2.87 KB
/
trajectory_path.scad
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
use <linalg.scad>
use <se3.scad>
function left_multiply(a,bs,i_=0) = i_ >= len(bs) ? [] :
concat([
a * bs[i_]
], left_multiply(a,bs,i_+1));
function right_multiply(as,b,i_=0) = i_ >= len(as) ? [] :
concat([
as[i_] * b
], right_multiply(as,b,i_+1));
function quantize_trajectory(trajectory,step=undef,start_position=0,steps=undef,i_=0,length_=undef) =
length_ == undef ? quantize_trajectory(
trajectory=trajectory,
start_position=(step==undef?norm(take3(trajectory))/steps*start_position:start_position),
length_=norm(take3(trajectory)),
step=step,steps=steps,i_=i_) :
(steps==undef?start_position > length_:i_>=steps) ? [] :
concat([
// if steps is defined, ignore start_position
se3_exp(trajectory*(steps==undef ? start_position/length_
: i_/(steps>1?steps-1:1)))
], quantize_trajectory(trajectory=trajectory,step=step,start_position=(steps==undef?start_position+step:start_position),steps=steps,i_=i_+1,length_=length_));
function close_trajectory_loop(trajectories) = concat(trajectories,[se3_ln(invert_rt(trajectories_end_position(trajectories)))]);
function quantize_trajectories(trajectories,step=undef,start_position=0,steps=undef,loop=false,last_=identity4(),i_=0,current_length_=undef,j_=0) =
// due to quantization differences, the last step may be missed. In that case, add it:
loop==true ? quantize_trajectories(
trajectories=close_trajectory_loop(trajectories),
step=step,
start_position = start_position,
steps=steps,
loop=false,
last_=last_,
i_=i_,
current_length_=current_length_,
j_=j_) :
i_ >= len(trajectories) ? (j_ < steps ? [last_] : []) :
current_length_ == undef ?
quantize_trajectories(
trajectories=trajectories,
step = (step == undef ? trajectories_length(trajectories) / steps : step),
start_position = (step == undef ? start_position * trajectories_length(trajectories) / steps : start_position),
steps=steps,
loop=loop,
last_=last_,
i_=i_,
current_length_=norm(take3(trajectories[i_])),
j_=j_) :
concat(
left_multiply(last_,quantize_trajectory(
trajectory=trajectories[i_],
start_position=start_position,
step=step)),
quantize_trajectories(
trajectories=trajectories,
step=step,
start_position = start_position > current_length_
? start_position - current_length_
: step - ((current_length_-start_position) % step),
steps=steps,
loop=loop,
last_=last_ * se3_exp(trajectories[i_]),
i_=i_+1,
current_length_ = undef,
j_=j_+len(
quantize_trajectory(
trajectory=trajectories[i_],
start_position=start_position,
step=step
))
))
;
function trajectories_length(trajectories, i_=0) = i_ >= len(trajectories) ? 0
: norm(take3(trajectories[i_])) + trajectories_length(trajectories,i_+1);
function trajectories_end_position(rt,i_=0,last_=identity4()) =
i_ >= len(rt) ? last_ :
trajectories_end_position(rt, i_+1, last_ * se3_exp(rt[i_]));