def main():
# The URDF loader seems robust to package:// and slightly wrong relative paths?
connect(use_gui=True)
add_data_path()
plane = p.loadURDF("plane.urdf")
#with HideOutput():
with LockRenderer():
robot = load_model(MOVO_URDF, fixed_base=True)
dump_body(robot)
print('Start?')
wait_for_user()
#joint_names = HEAD_JOINTS
#joints = joints_from_names(robot, joint_names)
joints = get_movable_joints(robot)
print('Joints', [get_joint_name(robot, joint) for joint in joints])
sample_fn = get_sample_fn(robot, joints)
for i in range(10):
print('Iteration:', i)
conf = sample_fn()
set_joint_positions(robot, joints, conf)
wait_for_user()
disconnect()
def clone_test(problem_fn):
sim_world = connect(use_gui=True)
add_data_path()
problem = problem_fn()
real_world = connect(use_gui=False)
clone_world(real_world)
set_client(real_world)
def main():
connect(use_gui=True)
add_data_path()
plane = p.loadURDF("plane.urdf")
with HideOutput():
with LockRenderer():
robot = load_model(FRANKA_URDF, fixed_base=True)
dump_body(robot)
print('Start?')
wait_for_user()
tool_link = link_from_name(robot, 'panda_hand')
joints = get_movable_joints(robot)
print('Joints', [get_joint_name(robot, joint) for joint in joints])
sample_fn = get_sample_fn(robot, joints)
for i in range(10):
print('Iteration:', i)
conf = sample_fn()
set_joint_positions(robot, joints, conf)
wait_for_user()
test_retraction(robot,
PANDA_INFO,
tool_link,
max_distance=0.01,
max_time=0.05)
disconnect()
def main():
parser = argparse.ArgumentParser() # Automatically includes help
parser.add_argument('-arm', required=True)
parser.add_argument('-grasp', required=True)
parser.add_argument('-viewer', action='store_true', help='enable viewer.')
args = parser.parse_args()
arm = args.arm
other_arm = get_other_arm(arm)
grasp_type = args.grasp
connect(use_gui=args.viewer)
add_data_path()
with HideOutput():
robot = load_pybullet(DRAKE_PR2_URDF)
set_group_conf(robot, 'torso', [0.2])
set_arm_conf(robot, arm, get_carry_conf(arm, grasp_type))
set_arm_conf(robot, other_arm, arm_conf(other_arm, REST_LEFT_ARM))
#plane = p.loadURDF("plane.urdf")
#table = p.loadURDF("table/table.urdf", 0, 0, 0, 0, 0, 0.707107, 0.707107)
table = create_table()
box = create_box(.07, .07, .14)
#create_inverse_reachability(robot, box, table, arm=arm, grasp_type=grasp_type)
create_inverse_reachability2(robot,
box,
table,
arm=arm,
grasp_type=grasp_type)
disconnect()
def load_plane(z=-1e-3):
add_data_path()
plane = load_pybullet('plane.urdf', fixed_base=True)
#plane = load_model('plane.urdf')
if z is not None:
set_point(plane, Point(z=z))
return plane
def main():
# The URDF loader seems robust to package:// and slightly wrong relative paths?
connect(use_gui=True)
add_data_path()
plane = p.loadURDF("plane.urdf")
with LockRenderer():
with HideOutput():
robot = load_model(MOVO_URDF, fixed_base=True)
for link in get_links(robot):
set_color(robot,
color=apply_alpha(0.25 * np.ones(3), 1),
link=link)
base_joints = joints_from_names(robot, BASE_JOINTS)
draw_base_limits((get_min_limits(
robot, base_joints), get_max_limits(robot, base_joints)),
z=1e-2)
dump_body(robot)
wait_for_user('Start?')
#for arm in ARMS:
# test_close_gripper(robot, arm)
arm = 'right'
tool_link = link_from_name(robot, TOOL_LINK.format(arm))
#joint_names = HEAD_JOINTS
#joints = joints_from_names(robot, joint_names)
joints = base_joints + get_arm_joints(robot, arm)
#joints = get_movable_joints(robot)
print('Joints:', get_joint_names(robot, joints))
ik_joints = get_ik_joints(robot, MOVO_INFOS[arm], tool_link)
#fixed_joints = []
fixed_joints = ik_joints[:1]
#fixed_joints = ik_joints
sample_fn = get_sample_fn(robot, joints)
handles = []
for i in range(10):
print('Iteration:', i)
conf = sample_fn()
print(conf)
set_joint_positions(robot, joints, conf)
tool_pose = get_link_pose(robot, tool_link)
remove_handles(handles)
handles = draw_pose(tool_pose)
wait_for_user()
#conf = next(ikfast_inverse_kinematics(robot, MOVO_INFOS[arm], tool_link, tool_pose,
# fixed_joints=fixed_joints, max_time=0.1), None)
#if conf is not None:
# set_joint_positions(robot, ik_joints, conf)
#wait_for_user()
test_retraction(robot,
MOVO_INFOS[arm],
tool_link,
fixed_joints=fixed_joints,
max_time=0.1)
disconnect()
def main(execute='apply'):
#parser = argparse.ArgumentParser() # Automatically includes help
#parser.add_argument('-display', action='store_true', help='enable viewer.')
#args = parser.parse_args()
#display = args.display
display = True
#display = False
#filename = 'transporter.json' # simple | simple2 | cook | invert | kitchen | nonmonotonic_4_1
#problem_fn = lambda: load_json_problem(filename)
problem_fn = cooking_problem
# holding_problem | stacking_problem | cleaning_problem | cooking_problem
# cleaning_button_problem | cooking_button_problem
with HideOutput():
sim_world = connect(use_gui=False)
set_client(sim_world)
add_data_path()
problem = problem_fn()
print(problem)
#state_id = save_state()
if display:
with HideOutput():
real_world = connect(use_gui=True)
add_data_path()
with ClientSaver(real_world):
problem_fn() # TODO: way of doing this without reloading?
update_state()
wait_for_duration(0.1)
#wait_for_interrupt()
commands = plan_commands(problem)
if (commands is None) or not display:
with HideOutput():
disconnect()
return
time_step = 0.01
set_client(real_world)
if execute == 'control':
enable_gravity()
control_commands(commands)
elif execute == 'execute':
step_commands(commands, time_step=time_step)
elif execute == 'step':
step_commands(commands)
elif execute == 'apply':
state = State()
apply_commands(state, commands, time_step=time_step)
else:
raise ValueError(execute)
wait_for_interrupt()
with HideOutput():
disconnect()
def main(use_pr2_drake=True):
connect(use_gui=True)
add_data_path()
plane = p.loadURDF("plane.urdf")
table_path = "models/table_collision/table.urdf"
table = load_pybullet(table_path, fixed_base=True)
set_quat(table, quat_from_euler(Euler(yaw=PI / 2)))
# table/table.urdf, table_square/table_square.urdf, cube.urdf, block.urdf, door.urdf
obstacles = [plane, table]
pr2_urdf = DRAKE_PR2_URDF if use_pr2_drake else PR2_URDF
with HideOutput():
pr2 = load_model(pr2_urdf, fixed_base=True) # TODO: suppress warnings?
dump_body(pr2)
z = base_aligned_z(pr2)
print(z)
#z = stable_z_on_aabb(pr2, AABB(np.zeros(3), np.zeros(3)))
print(z)
set_point(pr2, Point(z=z))
print(get_aabb(pr2))
wait_if_gui()
base_start = (-2, -2, 0)
base_goal = (2, 2, 0)
arm_start = SIDE_HOLDING_LEFT_ARM
#arm_start = TOP_HOLDING_LEFT_ARM
#arm_start = REST_LEFT_ARM
arm_goal = TOP_HOLDING_LEFT_ARM
#arm_goal = SIDE_HOLDING_LEFT_ARM
left_joints = joints_from_names(pr2, PR2_GROUPS['left_arm'])
right_joints = joints_from_names(pr2, PR2_GROUPS['right_arm'])
torso_joints = joints_from_names(pr2, PR2_GROUPS['torso'])
set_joint_positions(pr2, left_joints, arm_start)
set_joint_positions(pr2, right_joints,
rightarm_from_leftarm(REST_LEFT_ARM))
set_joint_positions(pr2, torso_joints, [0.2])
open_arm(pr2, 'left')
# test_ikfast(pr2)
add_line(base_start, base_goal, color=RED)
print(base_start, base_goal)
if use_pr2_drake:
test_drake_base_motion(pr2, base_start, base_goal, obstacles=obstacles)
else:
test_base_motion(pr2, base_start, base_goal, obstacles=obstacles)
test_arm_motion(pr2, left_joints, arm_goal)
# test_arm_control(pr2, left_joints, arm_start)
wait_if_gui('Finish?')
disconnect()
def create_world():
world = PlanningWorld(task=None, use_robot=False, visualize=True, color=BACKGROUND_COLOR, shadows=False)
add_data_path()
environment = [
#load_pybullet('models/short_floor.urdf'),
#load_pybullet('plane.urdf', fixed_base=True),
create_plane(color=GROUND_COLOR),
]
set_camera_pose(camera_point=0.4*np.array([0, -1.0, 0.5]))
#draw_pose(unit_pose(), length=1)
return world
def clone_real_world_test(problem_fn):
real_world = connect(use_gui=True)
add_data_path()
# world_file = 'test_world.py'
# p.saveWorld(world_file) # Saves a Python file to be executed
# state_id = p.saveState()
# test_bullet = 'test_world.bullet'
# save_bullet(test_bullet)
# clone_world(real_world)
with ClientSaver(real_world):
# pass
# restore_bullet(test_bullet)
problem_fn() # TODO: way of doing this without reloading?
update_state()
def list_pybullet_robots():
data_path = add_data_path()
robot_path = os.path.abspath(
os.path.join(data_path, os.pardir, 'pybullet_robots'))
directories = sorted(name for name in os.listdir(robot_path)
if os.path.isdir(os.path.join(robot_path, name)))
return directories
def main():
# TODO: move to pybullet-planning for now
parser = argparse.ArgumentParser()
parser.add_argument('-viewer',
action='store_true',
help='enable the viewer while planning')
args = parser.parse_args()
print(args)
connect(use_gui=True)
with LockRenderer():
draw_pose(unit_pose(), length=1)
floor = create_floor()
with HideOutput():
robot = load_pybullet(get_model_path(ROOMBA_URDF),
fixed_base=True,
scale=2.0)
for link in get_all_links(robot):
set_color(robot, link=link, color=ORANGE)
robot_z = stable_z(robot, floor)
set_point(robot, Point(z=robot_z))
#set_base_conf(robot, rover_confs[i])
data_path = add_data_path()
shelf, = load_model(os.path.join(data_path, KIVA_SHELF_SDF),
fixed_base=True) # TODO: returns a tuple
dump_body(shelf)
#draw_aabb(get_aabb(shelf))
wait_for_user()
disconnect()
def list_pybullet_data():
# TODO: recursively search
data_path = add_data_path()
#directories = sorted(name for name in os.listdir(data_path) if os.path.isdir(os.path.join(data_path, name)))
files = sorted(name for name in os.listdir(data_path)
if not os.path.isdir(os.path.join(data_path, name)) and (
os.path.splitext(name)[1] not in IGNORE_EXT))
return files
def main(use_pr2_drake=False):
connect(use_gui=True)
add_data_path()
plane = p.loadURDF("plane.urdf")
#table_path = "table/table.urdf"
# table_path = "models/table_collision/table.urdf"
# table = p.loadURDF(table_path, 0, 0, 0, 0, 0, 0.707107, 0.707107)
# table_square/table_square.urdf, cube.urdf, block.urdf, door.urdf
pr2_urdf = DRAKE_PR2_URDF if use_pr2_drake else PR2_URDF
with HideOutput():
pr2 = load_model(pr2_urdf, fixed_base=True) # TODO: suppress warnings?
dump_body(pr2)
base_start = (-2, -2, 0)
base_goal = (2, 2, 0)
arm_start = SIDE_HOLDING_LEFT_ARM
#arm_start = TOP_HOLDING_LEFT_ARM
#arm_start = REST_LEFT_ARM
arm_goal = TOP_HOLDING_LEFT_ARM
#arm_goal = SIDE_HOLDING_LEFT_ARM
left_joints = joints_from_names(pr2, PR2_GROUPS['left_arm'])
right_joints = joints_from_names(pr2, PR2_GROUPS['right_arm'])
torso_joints = joints_from_names(pr2, PR2_GROUPS['torso'])
set_joint_positions(pr2, left_joints, arm_start)
set_joint_positions(pr2, right_joints,
rightarm_from_leftarm(REST_LEFT_ARM))
set_joint_positions(pr2, torso_joints, [0.2])
open_arm(pr2, 'left')
# test_ikfast(pr2)
p.addUserDebugLine(base_start, base_goal,
lineColorRGB=(1, 0, 0)) # addUserDebugText
print(base_start, base_goal)
if use_pr2_drake:
test_drake_base_motion(pr2, base_start, base_goal)
else:
test_base_motion(pr2, base_start, base_goal)
test_arm_motion(pr2, left_joints, arm_goal)
# test_arm_control(pr2, left_joints, arm_start)
user_input('Finish?')
disconnect()
def main():
parser = argparse.ArgumentParser()
parser.add_argument('-shape',
default='box',
choices=['box', 'sphere', 'cylinder', 'capsule'])
parser.add_argument('-video', action='store_true')
args = parser.parse_args()
video = 'video.mp4' if args.video else None
connect(use_gui=True, mp4=video)
if video is not None:
set_renderer(enable=False)
draw_global_system()
set_camera_pose(camera_point=Point(+1.5, -1.5, +1.5),
target_point=Point(-1.5, +1.5, 0))
add_data_path()
plane = load_pybullet('plane.urdf', fixed_base=True)
#plane = load_model('plane.urdf')
set_point(plane, Point(z=-1e-3))
ramp = create_ramp()
dump_body(ramp)
obj = create_object(args.shape)
set_euler(obj, np.random.uniform(-np.math.radians(1), np.math.radians(1),
3))
set_point(obj, np.random.uniform(-1e-3, +1e-3, 3))
#set_velocity(obj, linear=Point(x=-1))
set_position(obj, z=2.)
#set_position(obj, z=base_aligned_z(obj))
dump_body(obj)
#add_pose_constraint(obj, pose=(target_point, target_quat), max_force=200)
set_renderer(enable=True)
if video is None:
wait_if_gui('Begin?')
simulate(controller=condition_controller(lambda step:
(step != 0) and at_rest(obj)))
if video is None:
wait_if_gui('Finish?')
disconnect()
def main():
connect(use_gui=True)
add_data_path()
draw_pose(Pose(), length=1.)
set_camera_pose(camera_point=[1, -1, 1])
plane = p.loadURDF("plane.urdf")
with LockRenderer():
with HideOutput(True):
robot = load_pybullet(FRANKA_URDF, fixed_base=True)
assign_link_colors(robot, max_colors=3, s=0.5, v=1.)
#set_all_color(robot, GREEN)
obstacles = [plane] # TODO: collisions with the ground
dump_body(robot)
print('Start?')
wait_for_user()
info = PANDA_INFO
tool_link = link_from_name(robot, 'panda_hand')
draw_pose(Pose(), parent=robot, parent_link=tool_link)
joints = get_movable_joints(robot)
print('Joints', [get_joint_name(robot, joint) for joint in joints])
check_ik_solver(info)
sample_fn = get_sample_fn(robot, joints)
for i in range(10):
print('Iteration:', i)
conf = sample_fn()
set_joint_positions(robot, joints, conf)
wait_for_user()
#test_ik(robot, info, tool_link, get_link_pose(robot, tool_link))
test_retraction(robot,
info,
tool_link,
use_pybullet=False,
max_distance=0.1,
max_time=0.05,
max_candidates=100)
disconnect()
def main():
# https://github.com/ros-teleop/teleop_twist_keyboard
# http://openrave.org/docs/latest_stable/_modules/openravepy/misc/#SetViewerUserThread
connect(use_gui=True)
add_data_path()
load_pybullet("plane.urdf")
#load_pybullet("models/table_collision/table.urdf")
with HideOutput():
pr2 = load_model(DRAKE_PR2_URDF, fixed_base=True)
enable_gravity()
enable_real_time(
) # TODO: won't work as well on OS X due to simulation thread
#run_simulate(pr2)
run_thread(pr2)
# TODO: keep working on this
#userthread = threading.Thread(target=run_thread, args=[pr2])
#userthread.start()
#userthread.join()
disconnect()
def create_table_bodies(world, item_ranges, randomize=True):
perception = world.perception
with HideOutput():
add_data_path()
floor_body = load_pybullet("plane.urdf")
set_pose(floor_body, get_pose(world.robot))
add_table(world)
for name, limits in sorted(item_ranges.items()):
perception.sim_items[name] = None
if randomize:
body = randomize_body(name,
width_range=limits.width_range,
height_range=limits.height_range,
mass_range=limits.mass_range)
else:
body = load_body(name)
perception.sim_bodies[name] = body
# perception.add_item(name, unit_pose())
x, y, yaw = np.random.uniform(*limits.pose2d_range)
surface_body = perception.get_body(limits.surface)
z = stable_z(body, surface_body) + Z_EPSILON
pose = Pose((x, y, z), Euler(yaw=yaw))
perception.set_pose(name, *pose)
def main():
parser = argparse.ArgumentParser() # Automatically includes help
parser.add_argument('-arm', required=True)
parser.add_argument('-grasp', required=True)
parser.add_argument('-viewer', action='store_true', help='enable viewer.')
args = parser.parse_args()
arm = args.arm
other_arm = get_other_arm(arm)
grasp_type = args.grasp
connect(use_gui=args.viewer)
add_data_path()
robot = p.loadURDF("models/pr2_description/pr2_fixed_torso.urdf")
set_arm_conf(robot, arm, get_carry_conf(arm, grasp_type))
set_arm_conf(robot, other_arm, arm_conf(other_arm, REST_LEFT_ARM))
#plane = p.loadURDF("plane.urdf")
table = p.loadURDF("table/table.urdf", 0, 0, 0, 0, 0, 0.707107, 0.707107)
box = create_box(.07, .05, .15)
create_inverse_reachability(robot, box, table, arm=arm, grasp_type=grasp_type)
disconnect()
def __init__(self,
robot_name=FRANKA_CARTER,
use_gui=True,
full_kitchen=False):
self.task = None
self.interface = None
self.client = connect(use_gui=use_gui)
set_real_time(False)
#set_caching(False) # Seems to make things worse
disable_gravity()
add_data_path()
set_camera_pose(camera_point=[2, -1.5, 1])
if DEBUG:
draw_pose(Pose(), length=3)
#self.kitchen_yaml = load_yaml(KITCHEN_YAML)
with HideOutput(enable=True):
self.kitchen = load_pybullet(KITCHEN_PATH,
fixed_base=True,
cylinder=True)
self.floor = load_pybullet('plane.urdf', fixed_base=True)
z = stable_z(self.kitchen, self.floor) - get_point(self.floor)[2]
point = np.array(get_point(self.kitchen)) - np.array([0, 0, z])
set_point(self.floor, point)
self.robot_name = robot_name
if self.robot_name == FRANKA_CARTER:
urdf_path, yaml_path = FRANKA_CARTER_PATH, None
#urdf_path, yaml_path = FRANKA_CARTER_PATH, FRANKA_YAML
#elif self.robot_name == EVE:
# urdf_path, yaml_path = EVE_PATH, None
else:
raise ValueError(self.robot_name)
self.robot_yaml = yaml_path if yaml_path is None else load_yaml(
yaml_path)
with HideOutput(enable=True):
self.robot = load_pybullet(urdf_path)
#dump_body(self.robot)
#chassis_pose = get_link_pose(self.robot, link_from_name(self.robot, 'chassis_link'))
#wheel_pose = get_link_pose(self.robot, link_from_name(self.robot, 'left_wheel_link'))
#wait_for_user()
set_point(self.robot, Point(z=stable_z(self.robot, self.floor)))
self.set_initial_conf()
self.gripper = create_gripper(self.robot)
self.environment_bodies = {}
if full_kitchen:
self._initialize_environment()
self._initialize_ik(urdf_path)
self.initial_saver = WorldSaver()
self.body_from_name = {}
# self.path_from_name = {}
self.names_from_type = {}
self.custom_limits = {}
self.base_limits_handles = []
self.cameras = {}
self.disabled_collisions = set()
if self.robot_name == FRANKA_CARTER:
self.disabled_collisions.update(
tuple(link_from_name(self.robot, link) for link in pair)
for pair in DISABLED_FRANKA_COLLISIONS)
self.carry_conf = FConf(self.robot, self.arm_joints, self.default_conf)
#self.calibrate_conf = Conf(self.robot, self.arm_joints, load_calibrate_conf(side='left'))
self.calibrate_conf = FConf(
self.robot, self.arm_joints,
self.default_conf) # Must differ from carry_conf
self.special_confs = [self.carry_conf] #, self.calibrate_conf]
self.open_gq = FConf(self.robot, self.gripper_joints,
get_max_limits(self.robot, self.gripper_joints))
self.closed_gq = FConf(self.robot, self.gripper_joints,
get_min_limits(self.robot, self.gripper_joints))
self.gripper_confs = [self.open_gq, self.closed_gq]
self.open_kitchen_confs = {
joint: FConf(self.kitchen, [joint], [self.open_conf(joint)])
for joint in self.kitchen_joints
}
self.closed_kitchen_confs = {
joint: FConf(self.kitchen, [joint], [self.closed_conf(joint)])
for joint in self.kitchen_joints
}
self._update_custom_limits()
self._update_initial()
def main():
connect(use_gui=True)
add_data_path()
set_camera(0, -30, 1)
plane = load_pybullet('plane.urdf', fixed_base=True)
#plane = load_model('plane.urdf')
cup = load_model('models/cup.urdf', fixed_base=True)
#set_point(cup, Point(z=stable_z(cup, plane)))
set_point(cup, Point(z=.2))
set_color(cup, (1, 0, 0, .4))
num_droplets = 100
#radius = 0.025
#radius = 0.005
radius = 0.0025
# TODO: more efficient ways to make all of these
droplets = [create_sphere(radius, mass=0.01)
for _ in range(num_droplets)] # kg
cup_thickness = 0.001
lower, upper = get_lower_upper(cup)
print(lower, upper)
buffer = cup_thickness + radius
lower = np.array(lower) + buffer * np.ones(len(lower))
upper = np.array(upper) - buffer * np.ones(len(upper))
limits = zip(lower, upper)
x_range, y_range = limits[:2]
z = upper[2] + 0.1
#x_range = [-1, 1]
#y_range = [-1, 1]
#z = 1
for droplet in droplets:
x = np.random.uniform(*x_range)
y = np.random.uniform(*y_range)
set_point(droplet, Point(x, y, z))
for i, droplet in enumerate(droplets):
x, y = np.random.normal(0, 1e-3, 2)
set_point(droplet, Point(x, y, z + i * (2 * radius + 1e-3)))
#dump_world()
wait_for_user()
#user_input('Start?')
enable_gravity()
simulate_for_duration(5.0)
# enable_real_time()
# try:
# while True:
# enable_gravity() # enable_real_time requires a command
# #time.sleep(dt)
# except KeyboardInterrupt:
# pass
# print()
#time.sleep(1.0)
wait_for_user('Finish?')
disconnect()
def main(num_iterations=10):
# The URDF loader seems robust to package:// and slightly wrong relative paths?
connect(use_gui=True)
add_data_path()
plane = p.loadURDF("plane.urdf")
side = 0.05
block = create_box(w=side, l=side, h=side, color=RED)
start_time = time.time()
with LockRenderer():
with HideOutput():
# TODO: MOVO must be loaded last
robot = load_model(MOVO_URDF, fixed_base=True)
#set_all_color(robot, color=MOVO_COLOR)
assign_link_colors(robot)
base_joints = joints_from_names(robot, BASE_JOINTS)
draw_base_limits((get_min_limits(
robot, base_joints), get_max_limits(robot, base_joints)),
z=1e-2)
print('Load time: {:.3f}'.format(elapsed_time(start_time)))
dump_body(robot)
#print(get_colliding(robot))
#for arm in ARMS:
# test_close_gripper(robot, arm)
#test_grasps(robot, block)
arm = RIGHT
tool_link = link_from_name(robot, TOOL_LINK.format(arm))
#joint_names = HEAD_JOINTS
#joints = joints_from_names(robot, joint_names)
joints = base_joints + get_arm_joints(robot, arm)
#joints = get_movable_joints(robot)
print('Joints:', get_joint_names(robot, joints))
ik_info = MOVO_INFOS[arm]
print_ik_warning(ik_info)
ik_joints = get_ik_joints(robot, ik_info, tool_link)
#fixed_joints = []
fixed_joints = ik_joints[:1]
#fixed_joints = ik_joints
wait_if_gui('Start?')
sample_fn = get_sample_fn(robot, joints)
handles = []
for i in range(num_iterations):
conf = sample_fn()
print('Iteration: {}/{} | Conf: {}'.format(i + 1, num_iterations,
np.array(conf)))
set_joint_positions(robot, joints, conf)
tool_pose = get_link_pose(robot, tool_link)
remove_handles(handles)
handles = draw_pose(tool_pose)
wait_if_gui()
#conf = next(ikfast_inverse_kinematics(robot, MOVO_INFOS[arm], tool_link, tool_pose,
# fixed_joints=fixed_joints, max_time=0.1), None)
#if conf is not None:
# set_joint_positions(robot, ik_joints, conf)
#wait_if_gui()
test_retraction(robot,
ik_info,
tool_link,
fixed_joints=fixed_joints,
max_time=0.05,
max_candidates=100)
disconnect()
def main():
# TODO: teleporting kuka arm
parser = argparse.ArgumentParser() # Automatically includes help
parser.add_argument('-viewer', action='store_true', help='enable viewer.')
args = parser.parse_args()
client = connect(use_gui=args.viewer)
add_data_path()
#planeId = p.loadURDF("plane.urdf")
table = p.loadURDF("table/table.urdf", 0, 0, 0, 0, 0, 0.707107, 0.707107)
box = create_box(.07, .05, .15)
# boxId = p.loadURDF("r2d2.urdf",cubeStartPos, cubeStartOrientation)
#pr2 = p.loadURDF("pr2_description/pr2.urdf")
pr2 = p.loadURDF("pr2_description/pr2_fixed_torso.urdf")
#pr2 = p.loadURDF("/Users/caelan/Programs/Installation/pr2_drake/pr2_local2.urdf",)
#useFixedBase=0,)
#flags=p.URDF_USE_SELF_COLLISION)
#flags=p.URDF_USE_SELF_COLLISION_EXCLUDE_PARENT)
#flags=p.URDF_USE_SELF_COLLISION_EXCLUDE_ALL_PARENTS)
#pr2 = p.loadURDF("pr2_drake/urdf/pr2_simplified.urdf", useFixedBase=False)
initially_colliding = get_colliding_links(pr2)
print len(initially_colliding)
origin = (0, 0, 0)
print p.getNumConstraints()
# TODO: no way of controlling the base position by itself
# TODO: PR2 seems to collide with itself frequently
# real_time = False
# p.setRealTimeSimulation(real_time)
# left_joints = [joint_from_name(pr2, name) for name in LEFT_JOINT_NAMES]
# control_joints(pr2, left_joints, TOP_HOLDING_LEFT_ARM)
# while True:
# control_joints(pr2, left_joints, TOP_HOLDING_LEFT_ARM)
# if not real_time:
# p.stepSimulation()
# A CollisionMap robot allows the user to specify self-collision regions indexed by the values of two joints.
# GetRigidlyAttachedLinks
print pr2
# for i in range (10000):
# p.stepSimulation()
# time.sleep(1./240.)
#print get_joint_names(pr2)
print[get_joint_name(pr2, joint) for joint in get_movable_joints(pr2)]
print get_joint_position(pr2, joint_from_name(pr2, TORSO_JOINT_NAME))
#open_gripper(pr2, joint_from_name(pr2, LEFT_GRIPPER))
#print get_joint_limits(pr2, joint_from_name(pr2, LEFT_GRIPPER))
#print get_joint_position(pr2, joint_from_name(pr2, LEFT_GRIPPER))
print self_collision(pr2)
"""
print p.getNumConstraints()
constraint = fixed_constraint(pr2, -1, box, -1) # table
p.changeConstraint(constraint)
print p.getNumConstraints()
print p.getConstraintInfo(constraint)
print p.getConstraintState(constraint)
p.stepSimulation()
raw_input('Continue?')
set_point(pr2, (-2, 0, 0))
p.stepSimulation()
p.changeConstraint(constraint)
print p.getConstraintInfo(constraint)
print p.getConstraintState(constraint)
raw_input('Continue?')
print get_point(pr2)
raw_input('Continue?')
"""
# TODO: would be good if we could set the joint directly
print set_joint_position(pr2, joint_from_name(pr2, TORSO_JOINT_NAME),
0.2) # Updates automatically
print get_joint_position(pr2, joint_from_name(pr2, TORSO_JOINT_NAME))
#return
left_joints = [joint_from_name(pr2, name) for name in LEFT_JOINT_NAMES]
right_joints = [joint_from_name(pr2, name) for name in RIGHT_JOINT_NAMES]
print set_joint_positions(
pr2, left_joints,
TOP_HOLDING_LEFT_ARM) # TOP_HOLDING_LEFT_ARM | SIDE_HOLDING_LEFT_ARM
print set_joint_positions(
pr2, right_joints,
REST_RIGHT_ARM) # TOP_HOLDING_RIGHT_ARM | REST_RIGHT_ARM
print get_body_name(pr2)
print get_body_names()
# print p.getBodyUniqueId(pr2)
print get_joint_names(pr2)
#for joint, value in zip(LEFT_ARM_JOINTS, REST_LEFT_ARM):
# set_joint_position(pr2, joint, value)
# for name, value in zip(LEFT_JOINT_NAMES, REST_LEFT_ARM):
# joint = joint_from_name(pr2, name)
# #print name, joint, get_joint_position(pr2, joint), value
# print name, get_joint_limits(pr2, joint), get_joint_type(pr2, joint), get_link_name(pr2, joint)
# set_joint_position(pr2, joint, value)
# #print name, joint, get_joint_position(pr2, joint), value
# for name, value in zip(RIGHT_JOINT_NAMES, REST_RIGHT_ARM):
# set_joint_position(pr2, joint_from_name(pr2, name), value)
print p.getNumJoints(pr2)
jointId = 0
print p.getJointInfo(pr2, jointId)
print p.getJointState(pr2, jointId)
# for i in xrange(10):
# #lower, upper = BASE_LIMITS
# #q = np.random.rand(len(lower))*(np.array(upper) - np.array(lower)) + lower
# q = np.random.uniform(*BASE_LIMITS)
# theta = np.random.uniform(*REVOLUTE_LIMITS)
# quat = z_rotation(theta)
# print q, theta, quat, env_collision(pr2)
# #set_point(pr2, q)
# set_pose(pr2, q, quat)
# #p.getMouseEvents()
# #p.getKeyboardEvents()
# raw_input('Continue?') # Stalls because waiting for input
#
# # TODO: self collisions
# for i in xrange(10):
# for name in LEFT_JOINT_NAMES:
# joint = joint_from_name(pr2, name)
# value = np.random.uniform(*get_joint_limits(pr2, joint))
# set_joint_position(pr2, joint, value)
# raw_input('Continue?')
#start = (-2, -2, 0)
#set_base_values(pr2, start)
# #start = get_base_values(pr2)
# goal = (2, 2, 0)
# p.addUserDebugLine(start, goal, lineColorRGB=(1, 1, 0)) # addUserDebugText
# print start, goal
# raw_input('Plan?')
# path = plan_base_motion(pr2, goal)
# print path
# if path is None:
# return
# print len(path)
# for bq in path:
# set_base_values(pr2, bq)
# raw_input('Continue?')
# left_joints = [joint_from_name(pr2, name) for name in LEFT_JOINT_NAMES]
# for joint in left_joints:
# print joint, get_joint_name(pr2, joint), get_joint_limits(pr2, joint), \
# is_circular(pr2, joint), get_joint_position(pr2, joint)
#
# #goal = np.zeros(len(left_joints))
# goal = []
# for name, value in zip(LEFT_JOINT_NAMES, REST_LEFT_ARM):
# joint = joint_from_name(pr2, name)
# goal.append(wrap_joint(pr2, joint, value))
#
# path = plan_joint_motion(pr2, left_joints, goal)
# print path
# for q in path:s
# set_joint_positions(pr2, left_joints, q)
# raw_input('Continue?')
print p.JOINT_REVOLUTE, p.JOINT_PRISMATIC, p.JOINT_FIXED, p.JOINT_POINT2POINT, p.JOINT_GEAR # 0 1 4 5 6
movable_joints = get_movable_joints(pr2)
print len(movable_joints)
for joint in xrange(get_num_joints(pr2)):
if is_movable(pr2, joint):
print joint, get_joint_name(pr2, joint), get_joint_type(
pr2, joint), get_joint_limits(pr2, joint)
#joints = [joint_from_name(pr2, name) for name in LEFT_JOINT_NAMES]
#set_joint_positions(pr2, joints, sample_joints(pr2, joints))
#print get_joint_positions(pr2, joints) # Need to print before the display updates?
# set_base_values(pr2, (1, -1, -np.pi/4))
# movable_joints = get_movable_joints(pr2)
# gripper_pose = get_link_pose(pr2, link_from_name(pr2, LEFT_ARM_LINK))
# print gripper_pose
# print get_joint_positions(pr2, movable_joints)
# p.addUserDebugLine(origin, gripper_pose[0], lineColorRGB=(1, 0, 0))
# p.stepSimulation()
# raw_input('Pre2 IK')
# set_joint_positions(pr2, left_joints, SIDE_HOLDING_LEFT_ARM) # TOP_HOLDING_LEFT_ARM | SIDE_HOLDING_LEFT_ARM
# print get_joint_positions(pr2, movable_joints)
# p.stepSimulation()
# raw_input('Pre IK')
# conf = inverse_kinematics(pr2, gripper_pose) # Doesn't automatically set configuraitons
# print conf
# print get_joint_positions(pr2, movable_joints)
# set_joint_positions(pr2, movable_joints, conf)
# print get_link_pose(pr2, link_from_name(pr2, LEFT_ARM_LINK))
# #print get_joint_positions(pr2, movable_joints)
# p.stepSimulation()
# raw_input('Post IK')
# return
# print pose_from_tform(TOOL_TFORM)
# gripper_pose = get_link_pose(pr2, link_from_name(pr2, LEFT_ARM_LINK))
# #gripper_pose = multiply(gripper_pose, TOOL_POSE)
# #gripper_pose = get_gripper_pose(pr2)
# for i, grasp_pose in enumerate(get_top_grasps(box)):
# grasp_pose = multiply(TOOL_POSE, grasp_pose)
# box_pose = multiply(gripper_pose, grasp_pose)
# set_pose(box, *box_pose)
# print get_pose(box)
# raw_input('Grasp {}'.format(i))
# return
torso = joint_from_name(pr2, TORSO_JOINT_NAME)
torso_point, torso_quat = get_link_pose(pr2, torso)
#torso_constraint = p.createConstraint(pr2, torso, -1, -1,
# p.JOINT_FIXED, jointAxis=[0] * 3, # JOINT_FIXED
# parentFramePosition=torso_point,
# childFramePosition=torso_quat)
create_inverse_reachability(pr2, box, table)
ir_database = load_inverse_reachability()
print len(ir_database)
return
link = link_from_name(pr2, LEFT_ARM_LINK)
point, quat = get_link_pose(pr2, link)
print point, quat
p.addUserDebugLine(origin, point,
lineColorRGB=(1, 1, 0)) # addUserDebugText
raw_input('Continue?')
current_conf = get_joint_positions(pr2, movable_joints)
#ik_conf = p.calculateInverseKinematics(pr2, link, point)
#ik_conf = p.calculateInverseKinematics(pr2, link, point, quat)
min_limits = [get_joint_limits(pr2, joint)[0] for joint in movable_joints]
max_limits = [get_joint_limits(pr2, joint)[1] for joint in movable_joints]
max_velocities = [
get_max_velocity(pr2, joint) for joint in movable_joints
] # Range of Jacobian
print min_limits
print max_limits
print max_velocities
ik_conf = p.calculateInverseKinematics(pr2,
link,
point,
quat,
lowerLimits=min_limits,
upperLimits=max_limits,
jointRanges=max_velocities,
restPoses=current_conf)
value_from_joint = dict(zip(movable_joints, ik_conf))
print[value_from_joint[joint] for joint in joints]
#print len(ik_conf), ik_conf
set_joint_positions(pr2, movable_joints, ik_conf)
#print len(movable_joints), get_joint_positions(pr2, movable_joints)
print get_joint_positions(pr2, joints)
raw_input('Finish?')
p.disconnect()
