blob: 9cfdc138d7bbd534613fb612ecde894b4ec85849 [file] [log] [blame]
import numpy as np
from y2023.control_loops.python.graph_tools import *
named_segments = []
points = {}
points['Neutral'] = np.array((np.pi, 0.0, 0.0))
points['GroundPickupBackConeUp'] = to_theta_with_circular_index_and_roll(
-1.07774334, 0.36308701, np.pi / 2.0, circular_index=1)
named_segments.append(
ThetaSplineSegment(
name="NeutralToGroundPickupBackConeUp",
start=points['Neutral'],
control1=np.array([3.170156, -0.561227]),
control2=np.array([2.972776, -1.026820]),
end=points['GroundPickupBackConeUp'],
control_alpha_rolls=[(0.30, 0.0), (.95, np.pi / 2.0)],
))
points['GroundPickupBackConeDown'] = to_theta_with_circular_index_and_roll(
-1.11487594, 0.23140145, np.pi / 2.0, circular_index=1)
named_segments.append(
ThetaSplineSegment(
name="NeutralToGroundPickupBackConeDown",
start=points['Neutral'],
control1=np.array([3.170156, -0.561227]),
control2=np.array([2.972776, -1.026820]),
end=points['GroundPickupBackConeDown'],
control_alpha_rolls=[(0.30, 0.0), (.95, np.pi / 2.0)],
))
points['GroundPickupBackCube'] = to_theta_with_circular_index_and_roll(
-1.102, 0.224, -np.pi / 2.0, circular_index=1)
named_segments.append(
ThetaSplineSegment(
name="NeutralToGroundPickupBackCube",
start=points['Neutral'],
control1=np.array([3.153228, -0.497009]),
control2=np.array([2.972776, -1.026820]),
end=points['GroundPickupBackCube'],
control_alpha_rolls=[(0.7, 0.0), (.9, -np.pi / 2.0)],
))
points['ScoreBackMidConeUpPos'] = to_theta_with_circular_index_and_roll(
-1.41871454, 1.07476162, np.pi / 2.0, circular_index=0)
named_segments.append(
ThetaSplineSegment(
name="NeutralToBackMidConeUpScore",
start=points['Neutral'],
control1=np.array([0.994244, -1.417442]),
control2=np.array([1.711325, -0.679748]),
end=points['ScoreBackMidConeUpPos'],
control_alpha_rolls=[(0.40, 0.0), (.95, np.pi / 2.0)],
))
points['ScoreBackMidConeDownPos'] = to_theta_with_circular_index_and_roll(
-1.37792406, 0.81332449, np.pi / 2.0, circular_index=1)
named_segments.append(
ThetaSplineSegment(
name="NeutralToMidConeDownScore",
start=points['Neutral'],
control1=np.array([3.394572, -0.239378]),
control2=np.array([3.654854, -0.626835]),
end=points['ScoreBackMidConeDownPos'],
control_alpha_rolls=[(0.40, 0.0), (.95, np.pi / 2.0)],
))
points['HPPickupBackConeUp'] = to_theta_with_circular_index_and_roll(
-1.1050539, 1.31390128, np.pi / 2.0, circular_index=0)
named_segments.append(
ThetaSplineSegment(
name="NeutralToHPPickupBackConeUp",
start=points['Neutral'],
control1=np.array([2.0, -0.239378]),
control2=np.array([1.6, -0.626835]),
end=points['HPPickupBackConeUp'],
control_alpha_rolls=[(0.7, 0.0), (.9, np.pi / 2.0)],
))
points['ScoreFrontHighConeUpPos'] = to_theta_with_circular_index_and_roll(
0.98810344, 1.37536719, -np.pi / 2.0, circular_index=0)
named_segments.append(
ThetaSplineSegment(
name="NeutralToFrontHighConeUpScore",
start=points['Neutral'],
control1=np.array([2.594244, 0.417442]),
control2=np.array([1.51325, 0.679748]),
end=points['ScoreFrontHighConeUpPos'],
control_alpha_rolls=[(0.40, 0.0), (.95, -np.pi / 2.0)],
))
points['ScoreFrontMidConeUpPos'] = to_theta_with_circular_index_and_roll(
0.43740453, 1.06330555, -np.pi / 2.0, circular_index=0)
named_segments.append(
ThetaSplineSegment(
name="NeutralToFrontMidConeUpScore",
start=points['Neutral'],
control1=np.array([3.0, 0.317442]),
control2=np.array([2.9, 0.479748]),
end=points['ScoreFrontMidConeUpPos'],
control_alpha_rolls=[(0.40, 0.0), (.95, -np.pi / 2.0)],
))
points['ConeDownPos'] = to_theta_with_circular_index_and_roll(0.7,
0.11,
np.pi / 2.0,
circular_index=0)
named_segments.append(
ThetaSplineSegment(
name="NeutralToConeDown",
start=points['Neutral'],
control1=np.array([2.396694, 0.508020]),
control2=np.array([2.874513, 0.933160]),
end=points['ConeDownPos'],
control_alpha_rolls=[(0.30, 0.0), (.95, np.pi / 2.0)],
))
front_points = []
back_points = []
unnamed_segments = []
segments = named_segments + unnamed_segments