-
Notifications
You must be signed in to change notification settings - Fork 110
/
metrics.go
156 lines (134 loc) · 6.23 KB
/
metrics.go
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
package ik
import (
"math"
"go.viam.com/rdk/referenceframe"
spatial "go.viam.com/rdk/spatialmath"
"go.viam.com/rdk/utils"
)
const orientationDistanceScaling = 10.
// Segment contains all the information a constraint needs to determine validity for a movement.
// It contains the starting inputs, the ending inputs, corresponding poses, and the frame it refers to.
// Pose fields may be empty, and may be filled in by a constraint that needs them.
type Segment struct {
StartPosition spatial.Pose
EndPosition spatial.Pose
StartConfiguration []referenceframe.Input
EndConfiguration []referenceframe.Input
Frame referenceframe.Frame
}
// State contains all the information a constraint needs to determine validity for a movement.
// It contains the starting inputs, the ending inputs, corresponding poses, and the frame it refers to.
// Pose fields may be empty, and may be filled in by a constraint that needs them.
type State struct {
Position spatial.Pose
Configuration []referenceframe.Input
Frame referenceframe.Frame
}
// StateMetric are functions which, given a State, produces some score. Lower is better.
// This is used for gradient descent to converge upon a goal pose, for example.
type StateMetric func(*State) float64
// SegmentMetric are functions which produce some score given an Segment. Lower is better.
// This is used to sort produced IK solutions by goodness, for example.
type SegmentMetric func(*Segment) float64
// NewZeroMetric always returns zero as the distance between two points.
func NewZeroMetric() StateMetric {
return func(from *State) float64 { return 0 }
}
type combinableStateMetric struct {
metrics []StateMetric
}
func (m *combinableStateMetric) combinedDist(input *State) float64 {
dist := 0.
for _, metric := range m.metrics {
dist += metric(input)
}
return dist
}
// CombineMetrics will take a variable number of Metrics and return a new Metric which will combine all given metrics into one, summing
// their distances.
func CombineMetrics(metrics ...StateMetric) StateMetric {
cm := &combinableStateMetric{metrics: metrics}
return cm.combinedDist
}
// OrientDist returns the arclength between two orientations in degrees.
func OrientDist(o1, o2 spatial.Orientation) float64 {
return utils.RadToDeg(spatial.QuatToR4AA(spatial.OrientationBetween(o1, o2).Quaternion()).Theta)
}
// OrientDistToRegion will return a function which will tell you how far the unit sphere component of an orientation
// vector is from a region defined by a point and an arclength around it. The theta value of OV is disregarded.
// This is useful, for example, in defining the set of acceptable angles of attack for writing on a whiteboard.
func OrientDistToRegion(goal spatial.Orientation, alpha float64) func(spatial.Orientation) float64 {
ov1 := goal.OrientationVectorRadians()
return func(o spatial.Orientation) float64 {
ov2 := o.OrientationVectorRadians()
acosInput := ov1.OX*ov2.OX + ov1.OY*ov2.OY + ov1.OZ*ov2.OZ
// Account for floating point issues
if acosInput > 1.0 {
acosInput = 1.0
}
if acosInput < -1.0 {
acosInput = -1.0
}
dist := math.Acos(acosInput)
return math.Max(0, dist-alpha)
}
}
// NewSquaredNormMetric is the default distance function between two poses to be used for gradient descent.
func NewSquaredNormMetric(goal spatial.Pose) StateMetric {
weightedSqNormDist := func(query *State) float64 {
delta := spatial.PoseDelta(goal, query.Position)
// Increase weight for orientation since it's a small number
return delta.Point().Norm2() + spatial.QuatToR3AA(delta.Orientation().Quaternion()).Mul(orientationDistanceScaling).Norm2()
}
return weightedSqNormDist
}
// NewPoseFlexOVMetricConstructor will provide a distance function which will converge on a pose with an OV within an arclength of `alpha`
// of the ov of the goal given.
func NewPoseFlexOVMetricConstructor(alpha float64) func(spatial.Pose) StateMetric {
return func(goal spatial.Pose) StateMetric {
oDistFunc := OrientDistToRegion(goal.Orientation(), alpha)
return func(state *State) float64 {
pDist := state.Position.Point().Distance(goal.Point())
oDist := oDistFunc(state.Position.Orientation())
return pDist*pDist + oDist*oDist
}
}
}
// NewPositionOnlyMetric returns a Metric that reports the point-wise distance between two poses without regard for orientation.
// This is useful for scenarios where there are not enough DOF to control orientation, but arbitrary spatial points may
// still be arrived at.
func NewPositionOnlyMetric(goal spatial.Pose) StateMetric {
return func(state *State) float64 {
pDist := state.Position.Point().Distance(goal.Point())
return pDist * pDist
}
}
// JointMetric is a metric which will sum the squared differences in each input from start to end.
func JointMetric(segment *Segment) float64 {
jScore := 0.
for i, f := range segment.StartConfiguration {
jScore += math.Abs(f.Value - segment.EndConfiguration[i].Value)
}
return jScore
}
// L2InputMetric is a metric which will return a L2 norm of the StartConfiguration and EndConfiguration in an arc input.
func L2InputMetric(segment *Segment) float64 {
return referenceframe.InputsL2Distance(segment.StartConfiguration, segment.EndConfiguration)
}
// NewSquaredNormSegmentMetric returns a metric which will return the cartesian distance between the two positions.
// It allows the caller to choose the scaling level of orientation.
func NewSquaredNormSegmentMetric(orientationScaleFactor float64) SegmentMetric {
return func(segment *Segment) float64 {
delta := spatial.PoseDelta(segment.StartPosition, segment.EndPosition)
// Increase weight for orientation since it's a small number
return delta.Point().Norm2() + spatial.QuatToR3AA(delta.Orientation().Quaternion()).Mul(orientationScaleFactor).Norm2()
}
}
// SquaredNormNoOrientSegmentMetric is a metric which will return the cartesian distance between the two positions.
func SquaredNormNoOrientSegmentMetric(segment *Segment) float64 {
delta := spatial.PoseDelta(segment.StartPosition, segment.EndPosition)
// Increase weight for orientation since it's a small number
return delta.Point().Norm2()
}
// TODO(RSDK-2557): Writing a PenetrationDepthMetric will allow cbirrt to path along the sides of obstacles rather than terminating
// the RRT tree when an obstacle is hit