-
Notifications
You must be signed in to change notification settings - Fork 23
/
collision_free_trajectory.py
executable file
·128 lines (107 loc) · 4.01 KB
/
collision_free_trajectory.py
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
#!/usr/bin/env python
import argparse
import time
import numpy as np
import skrobot
from skrobot.model.primitives import Axis
from skrobot.model.primitives import Box
from skrobot.model.primitives import LineString
from skrobot.planner import sqp_plan_trajectory
from skrobot.planner import SweptSphereSdfCollisionChecker
from skrobot.planner.utils import get_robot_config
from skrobot.planner.utils import set_robot_config
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
parser.add_argument(
'-n', type=int, default=10,
help='number of waypoints.')
parser.add_argument(
'--without-base',
action='store_true',
help='Solve motion planning without base.'
)
parser.add_argument(
'--viewer', type=str,
choices=['trimesh', 'pyrender'], default='trimesh',
help='Choose the viewer type: trimesh or pyrender')
args = parser.parse_args()
# initialization stuff
np.random.seed(0)
robot_model = skrobot.models.PR2()
robot_model.init_pose()
# create obstacle's visual element with the corresponding sdf.
# The sdf is stored as a member variable of box.
box_center = np.array([0.9, -0.2, 0.9])
box = Box(extents=[0.7, 0.5, 0.6], with_sdf=True)
box.translate(box_center)
link_list = [
robot_model.r_shoulder_pan_link, robot_model.r_shoulder_lift_link,
robot_model.r_upper_arm_roll_link, robot_model.r_elbow_flex_link,
robot_model.r_forearm_roll_link, robot_model.r_wrist_flex_link,
robot_model.r_wrist_roll_link]
joint_list = [link.joint for link in link_list]
coll_link_list = [
robot_model.r_upper_arm_link, robot_model.r_forearm_link,
robot_model.r_gripper_palm_link, robot_model.r_gripper_r_finger_link,
robot_model.r_gripper_l_finger_link]
# obtain av_start (please try both with_base=True, False)
with_base = not args.without_base
av_start = np.array([0.564, 0.35, -0.74, -0.7, -0.7, -0.17, -0.63])
if with_base:
# base pose is specified by [x, y, theta]
base_pose_start = [-0.5, 0.8, 0]
av_start = np.hstack([av_start, base_pose_start])
# solve inverse kinematics to obtain av_goal
joint_angles = np.deg2rad([-60, 74, -70, -120, -20, -30, 180])
set_robot_config(robot_model, joint_list, joint_angles)
target_coords = skrobot.coordinates.Coordinates([0.8, -0.6, 0.8], [0, 0, 0])
rarm_end_coords = skrobot.coordinates.CascadedCoords(
parent=robot_model.r_gripper_tool_frame,
name='rarm_end_coords')
robot_model.inverse_kinematics(
target_coords=target_coords,
link_list=link_list,
move_target=robot_model.rarm_end_coords, rotation_axis=True)
av_goal = get_robot_config(robot_model, joint_list, with_base=with_base)
# collision checker setup
sscc = SweptSphereSdfCollisionChecker(box.sdf, robot_model)
for link in coll_link_list:
sscc.add_collision_link(link)
# motion planning
ts = time.time()
n_waypoint = args.n
av_seq = sqp_plan_trajectory(
sscc, av_start, av_goal, joint_list, n_waypoint,
safety_margin=5.0e-2, with_base=with_base)
print("solving time : {0} sec".format(time.time() - ts))
# visualization
print("show trajectory")
if args.viewer == 'trimesh':
viewer = skrobot.viewers.TrimeshSceneViewer(resolution=(640, 480))
elif args.viewer == 'pyrender':
viewer = skrobot.viewers.PyrenderViewer(resolution=(640, 480))
viewer.add(robot_model)
viewer.add(box)
viewer.add(Axis(pos=target_coords.worldpos(), rot=target_coords.worldrot()))
sscc.add_coll_spheres_to_viewer(viewer)
viewer.show()
viewer.set_camera([0, 0, np.pi / 2.0])
rarm_point_history = []
line_string = None
for av in av_seq:
set_robot_config(robot_model, joint_list, av, with_base=with_base)
rarm_point_history.append(rarm_end_coords.worldpos())
# update rarm trajectory visualization
if line_string is not None:
viewer.delete(line_string)
if len(rarm_point_history) > 1:
line_string = LineString(np.array(rarm_point_history))
viewer.add(line_string)
sscc.update_color()
viewer.redraw()
time.sleep(1.0)
print('==> Press [q] to close window')
while not viewer.has_exit:
time.sleep(0.1)
viewer.redraw()