milind-u | 18a901d | 2023-02-17 21:51:55 -0800 | [diff] [blame] | 1 | import numpy as np |
Maxwell Henderson | f5123fe | 2023-02-04 13:44:41 -0800 | [diff] [blame] | 2 | |
milind-u | 18a901d | 2023-02-17 21:51:55 -0800 | [diff] [blame] | 3 | from y2023.control_loops.python.graph_tools import * |
Maxwell Henderson | f5123fe | 2023-02-04 13:44:41 -0800 | [diff] [blame] | 4 | |
Austin Schuh | 9a11ebd | 2023-02-26 14:16:31 -0800 | [diff] [blame] | 5 | named_segments = [] |
| 6 | points = {} |
Maxwell Henderson | f5123fe | 2023-02-04 13:44:41 -0800 | [diff] [blame] | 7 | |
Austin Schuh | 9a11ebd | 2023-02-26 14:16:31 -0800 | [diff] [blame] | 8 | points['Neutral'] = np.array((np.pi, 0.0, 0.0)) |
| 9 | |
| 10 | points['GroundPickupBackConeUp'] = to_theta_with_circular_index_and_roll( |
milind-u | 68842e1 | 2023-02-26 12:45:40 -0800 | [diff] [blame] | 11 | -1.07774334, 0.36308701, np.pi / 2.0, circular_index=1) |
Maxwell Henderson | 1ac7aac | 2023-02-23 17:35:32 -0800 | [diff] [blame] | 12 | |
Austin Schuh | 9a11ebd | 2023-02-26 14:16:31 -0800 | [diff] [blame] | 13 | named_segments.append( |
| 14 | ThetaSplineSegment( |
| 15 | name="NeutralToGroundPickupBackConeUp", |
| 16 | start=points['Neutral'], |
| 17 | control1=np.array([3.170156, -0.561227]), |
| 18 | control2=np.array([2.972776, -1.026820]), |
| 19 | end=points['GroundPickupBackConeUp'], |
| 20 | control_alpha_rolls=[(0.30, 0.0), (.95, np.pi / 2.0)], |
| 21 | )) |
| 22 | |
| 23 | points['GroundPickupBackConeDown'] = to_theta_with_circular_index_and_roll( |
milind-u | 68842e1 | 2023-02-26 12:45:40 -0800 | [diff] [blame] | 24 | -1.11487594, 0.23140145, np.pi / 2.0, circular_index=1) |
| 25 | |
Austin Schuh | 9a11ebd | 2023-02-26 14:16:31 -0800 | [diff] [blame] | 26 | named_segments.append( |
| 27 | ThetaSplineSegment( |
| 28 | name="NeutralToGroundPickupBackConeDown", |
| 29 | start=points['Neutral'], |
| 30 | control1=np.array([3.170156, -0.561227]), |
| 31 | control2=np.array([2.972776, -1.026820]), |
| 32 | end=points['GroundPickupBackConeDown'], |
| 33 | control_alpha_rolls=[(0.30, 0.0), (.95, np.pi / 2.0)], |
| 34 | )) |
| 35 | |
| 36 | points['GroundPickupBackCube'] = to_theta_with_circular_index_and_roll( |
Austin Schuh | 9b3e41c | 2023-02-26 22:29:53 -0800 | [diff] [blame^] | 37 | -1.102, 0.25, -np.pi / 2.0, circular_index=1) |
Maxwell Henderson | 1ac7aac | 2023-02-23 17:35:32 -0800 | [diff] [blame] | 38 | |
Austin Schuh | 9a11ebd | 2023-02-26 14:16:31 -0800 | [diff] [blame] | 39 | named_segments.append( |
| 40 | ThetaSplineSegment( |
| 41 | name="NeutralToGroundPickupBackCube", |
| 42 | start=points['Neutral'], |
| 43 | control1=np.array([3.153228, -0.497009]), |
| 44 | control2=np.array([2.972776, -1.026820]), |
| 45 | end=points['GroundPickupBackCube'], |
| 46 | control_alpha_rolls=[(0.7, 0.0), (.9, -np.pi / 2.0)], |
| 47 | )) |
| 48 | |
Austin Schuh | 9b3e41c | 2023-02-26 22:29:53 -0800 | [diff] [blame^] | 49 | points['GroundPickupFrontCube'] = to_theta_with_circular_index_and_roll( |
| 50 | 0.325603, 0.255189, np.pi / 2.0, circular_index=0) |
| 51 | |
| 52 | named_segments.append( |
| 53 | ThetaSplineSegment( |
| 54 | name="NeutralToGroundPickupFrontCube", |
| 55 | start=points['Neutral'], |
| 56 | control1=np.array([3.338852196583635, 0.34968650009090885]), |
| 57 | control2=np.array([4.28246270189025, 1.492916470137478]), |
| 58 | end=points['GroundPickupFrontCube'], |
| 59 | control_alpha_rolls=[(0.4, 0.0), (.9, np.pi / 2.0)], |
| 60 | )) |
| 61 | |
Austin Schuh | 9a11ebd | 2023-02-26 14:16:31 -0800 | [diff] [blame] | 62 | points['ScoreBackMidConeUpPos'] = to_theta_with_circular_index_and_roll( |
milind-u | 68842e1 | 2023-02-26 12:45:40 -0800 | [diff] [blame] | 63 | -1.41871454, 1.07476162, np.pi / 2.0, circular_index=0) |
Maxwell Henderson | 1ac7aac | 2023-02-23 17:35:32 -0800 | [diff] [blame] | 64 | |
Austin Schuh | 9a11ebd | 2023-02-26 14:16:31 -0800 | [diff] [blame] | 65 | named_segments.append( |
| 66 | ThetaSplineSegment( |
| 67 | name="NeutralToBackMidConeUpScore", |
| 68 | start=points['Neutral'], |
| 69 | control1=np.array([0.994244, -1.417442]), |
| 70 | control2=np.array([1.711325, -0.679748]), |
| 71 | end=points['ScoreBackMidConeUpPos'], |
| 72 | control_alpha_rolls=[(0.40, 0.0), (.95, np.pi / 2.0)], |
| 73 | )) |
| 74 | |
| 75 | points['ScoreBackMidConeDownPos'] = to_theta_with_circular_index_and_roll( |
milind-u | 68842e1 | 2023-02-26 12:45:40 -0800 | [diff] [blame] | 76 | -1.37792406, 0.81332449, np.pi / 2.0, circular_index=1) |
Maxwell Henderson | 1ac7aac | 2023-02-23 17:35:32 -0800 | [diff] [blame] | 77 | |
Austin Schuh | 9a11ebd | 2023-02-26 14:16:31 -0800 | [diff] [blame] | 78 | named_segments.append( |
| 79 | ThetaSplineSegment( |
| 80 | name="NeutralToMidConeDownScore", |
| 81 | start=points['Neutral'], |
| 82 | control1=np.array([3.394572, -0.239378]), |
| 83 | control2=np.array([3.654854, -0.626835]), |
| 84 | end=points['ScoreBackMidConeDownPos'], |
| 85 | control_alpha_rolls=[(0.40, 0.0), (.95, np.pi / 2.0)], |
| 86 | )) |
| 87 | |
| 88 | points['HPPickupBackConeUp'] = to_theta_with_circular_index_and_roll( |
milind-u | 68842e1 | 2023-02-26 12:45:40 -0800 | [diff] [blame] | 89 | -1.1050539, 1.31390128, np.pi / 2.0, circular_index=0) |
Maxwell Henderson | 1ac7aac | 2023-02-23 17:35:32 -0800 | [diff] [blame] | 90 | |
Austin Schuh | 9a11ebd | 2023-02-26 14:16:31 -0800 | [diff] [blame] | 91 | named_segments.append( |
| 92 | ThetaSplineSegment( |
| 93 | name="NeutralToHPPickupBackConeUp", |
| 94 | start=points['Neutral'], |
| 95 | control1=np.array([2.0, -0.239378]), |
| 96 | control2=np.array([1.6, -0.626835]), |
| 97 | end=points['HPPickupBackConeUp'], |
| 98 | control_alpha_rolls=[(0.7, 0.0), (.9, np.pi / 2.0)], |
| 99 | )) |
| 100 | |
| 101 | points['ScoreFrontHighConeUpPos'] = to_theta_with_circular_index_and_roll( |
milind-u | 68842e1 | 2023-02-26 12:45:40 -0800 | [diff] [blame] | 102 | 0.98810344, 1.37536719, -np.pi / 2.0, circular_index=0) |
Maxwell Henderson | 1ac7aac | 2023-02-23 17:35:32 -0800 | [diff] [blame] | 103 | |
Austin Schuh | 9a11ebd | 2023-02-26 14:16:31 -0800 | [diff] [blame] | 104 | named_segments.append( |
| 105 | ThetaSplineSegment( |
| 106 | name="NeutralToFrontHighConeUpScore", |
| 107 | start=points['Neutral'], |
| 108 | control1=np.array([2.594244, 0.417442]), |
| 109 | control2=np.array([1.51325, 0.679748]), |
| 110 | end=points['ScoreFrontHighConeUpPos'], |
| 111 | control_alpha_rolls=[(0.40, 0.0), (.95, -np.pi / 2.0)], |
| 112 | )) |
| 113 | |
| 114 | points['ScoreFrontMidConeUpPos'] = to_theta_with_circular_index_and_roll( |
milind-u | 68842e1 | 2023-02-26 12:45:40 -0800 | [diff] [blame] | 115 | 0.43740453, 1.06330555, -np.pi / 2.0, circular_index=0) |
Maxwell Henderson | 1ac7aac | 2023-02-23 17:35:32 -0800 | [diff] [blame] | 116 | |
Austin Schuh | 9a11ebd | 2023-02-26 14:16:31 -0800 | [diff] [blame] | 117 | named_segments.append( |
| 118 | ThetaSplineSegment( |
| 119 | name="NeutralToFrontMidConeUpScore", |
| 120 | start=points['Neutral'], |
| 121 | control1=np.array([3.0, 0.317442]), |
| 122 | control2=np.array([2.9, 0.479748]), |
| 123 | end=points['ScoreFrontMidConeUpPos'], |
| 124 | control_alpha_rolls=[(0.40, 0.0), (.95, -np.pi / 2.0)], |
| 125 | )) |
Maxwell Henderson | 1ac7aac | 2023-02-23 17:35:32 -0800 | [diff] [blame] | 126 | |
Austin Schuh | 9b3e41c | 2023-02-26 22:29:53 -0800 | [diff] [blame^] | 127 | points['ScoreFrontLowCube'] = to_theta_with_circular_index_and_roll( |
| 128 | 0.325603, 0.30, np.pi / 2.0, circular_index=0) |
| 129 | |
| 130 | named_segments.append( |
| 131 | ThetaSplineSegment( |
| 132 | name="NeutralToScoreFrontLowCube", |
| 133 | start=points['Neutral'], |
| 134 | control1=np.array([3.338852196583635, 0.34968650009090885]), |
| 135 | control2=np.array([4.28246270189025, 1.492916470137478]), |
| 136 | end=points['ScoreFrontLowCube'], |
| 137 | control_alpha_rolls=[(0.4, 0.0), (.9, np.pi / 2.0)], |
| 138 | )) |
| 139 | |
| 140 | points['ScoreBackLowCube'] = to_theta_with_circular_index_and_roll( |
| 141 | -1.102, 0.30, -np.pi / 2.0, circular_index=1) |
| 142 | |
| 143 | named_segments.append( |
| 144 | ThetaSplineSegment( |
| 145 | name="NeutralToScoreLowBackCube", |
| 146 | start=points['Neutral'], |
| 147 | control1=np.array([3.153228, -0.497009]), |
| 148 | control2=np.array([2.972776, -1.026820]), |
| 149 | end=points['ScoreBackLowCube'], |
| 150 | control_alpha_rolls=[(0.7, 0.0), (.9, -np.pi / 2.0)], |
| 151 | )) |
| 152 | |
| 153 | points['ScoreFrontMidCube'] = to_theta_with_circular_index_and_roll( |
| 154 | 0.517846, 0.87, np.pi / 2.0, circular_index=0) |
| 155 | |
| 156 | named_segments.append( |
| 157 | ThetaSplineSegment( |
| 158 | name="NeutralToScoreFrontMidCube", |
| 159 | start=points["Neutral"], |
| 160 | control1=np.array([3.1310824883477952, 0.23591705727105095]), |
| 161 | control2=np.array([3.0320025094685965, 0.43674789928668933]), |
| 162 | end=points["ScoreFrontMidCube"], |
| 163 | control_alpha_rolls=[(0.4, np.pi * 0.0), (0.95, np.pi * 0.5)], |
| 164 | )) |
| 165 | |
| 166 | points['ScoreFrontHighCube'] = to_theta_with_circular_index_and_roll( |
| 167 | 0.901437, 1.16, np.pi / 2.0, circular_index=0) |
| 168 | |
| 169 | named_segments.append( |
| 170 | ThetaSplineSegment( |
| 171 | name="NeutralToScoreFrontHighCube", |
| 172 | start=points["Neutral"], |
| 173 | control1=np.array([2.537484161662287, 0.059700523547219]), |
| 174 | control2=np.array([2.449391812539668, 0.4141564369176016]), |
| 175 | end=points["ScoreFrontHighCube"], |
| 176 | control_alpha_rolls=[(0.4, np.pi * 0.0), (0.95, np.pi * 0.5)], |
| 177 | )) |
| 178 | |
| 179 | points['ScoreBackMidCube'] = to_theta_with_circular_index_and_roll( |
| 180 | -1.27896, 0.84, -np.pi / 2.0, circular_index=1) |
| 181 | |
| 182 | named_segments.append( |
| 183 | ThetaSplineSegment( |
| 184 | name="NeutralToScoreBackMidCube", |
| 185 | start=points["Neutral"], |
| 186 | control1=np.array([3.3485646154655404, -0.4369603013926491]), |
| 187 | control2=np.array([3.2653593368256995, -0.789587049476034]), |
| 188 | end=points["ScoreBackMidCube"], |
| 189 | control_alpha_rolls=[(0.3, -np.pi * 0.0), (0.95, -np.pi * 0.5)], |
| 190 | )) |
| 191 | |
| 192 | # TODO(austin): This doesn't produce the next line... |
| 193 | #points['ScoreBackHighCube'] = to_theta_with_circular_index_and_roll( |
| 194 | # -1.60932, 1.16839, np.pi / 2.0, circular_index=0) |
| 195 | points['ScoreBackHighCube'] = np.array( |
| 196 | (4.77284735761704, -1.19952193130714, -np.pi / 2.0)) |
| 197 | |
| 198 | named_segments.append( |
| 199 | ThetaSplineSegment( |
| 200 | name="NeutralToScoreBackHighCube", |
| 201 | start=points["Neutral"], |
| 202 | control1=np.array([3.6804854484103684, -0.3494541095053125]), |
| 203 | control2=np.array([3.9889380578509517, -0.6637934755748516]), |
| 204 | end=points["ScoreBackHighCube"], |
| 205 | control_alpha_rolls=[(0.3, -np.pi * 0.0), (0.95, -np.pi * 0.5)], |
| 206 | )) |
| 207 | |
Austin Schuh | 9a11ebd | 2023-02-26 14:16:31 -0800 | [diff] [blame] | 208 | points['ConeDownPos'] = to_theta_with_circular_index_and_roll(0.7, |
| 209 | 0.11, |
| 210 | np.pi / 2.0, |
| 211 | circular_index=0) |
| 212 | named_segments.append( |
| 213 | ThetaSplineSegment( |
| 214 | name="NeutralToConeDown", |
| 215 | start=points['Neutral'], |
| 216 | control1=np.array([2.396694, 0.508020]), |
| 217 | control2=np.array([2.874513, 0.933160]), |
| 218 | end=points['ConeDownPos'], |
| 219 | control_alpha_rolls=[(0.30, 0.0), (.95, np.pi / 2.0)], |
| 220 | )) |
Maxwell Henderson | 1ac7aac | 2023-02-23 17:35:32 -0800 | [diff] [blame] | 221 | |
Maxwell Henderson | 83cf6d6 | 2023-02-10 20:29:26 -0800 | [diff] [blame] | 222 | front_points = [] |
| 223 | back_points = [] |
| 224 | unnamed_segments = [] |
milind-u | 18a901d | 2023-02-17 21:51:55 -0800 | [diff] [blame] | 225 | segments = named_segments + unnamed_segments |