Simplify grasp controller

This commit is contained in:
Michel Breyer 2021-05-26 21:54:54 +02:00
parent 062c541b56
commit 0545dbcc06
4 changed files with 114 additions and 138 deletions

View File

@ -1,5 +1,6 @@
active_grasp:
frame_id: task
length: 0.3
base_frame_id: panda_link0
ee_frame_id: panda_hand
ee_grasp_offset: [0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.065]

View File

@ -6,16 +6,18 @@ import scipy.interpolate
from geometry_msgs.msg import Pose
from sensor_msgs.msg import Image, CameraInfo
import std_srvs.srv
from robot_tools.spatial import Rotation, Transform
from robot_tools.ros.conversions import *
from robot_tools.ros.panda import PandaGripperClient
from robot_tools.ros.tf import TransformTree
from robot_tools.perception import *
from vgn import vis
from vgn.detection import VGN, compute_grasps
def get_policy(name):
def get_controller(name):
if name == "single-view":
return SingleViewBaseline()
elif name == "fixed-trajectory":
@ -26,131 +28,156 @@ def get_policy(name):
raise ValueError("{} policy does not exist.".format(name))
class Policy:
class BaseController:
def __init__(self):
params = rospy.get_param("active_grasp")
self.frame_id = rospy.get_param("~frame_id")
self.length = rospy.get_param("~length")
self.frame_id = params["frame_id"]
# Robot
self.base_frame_id = params["base_frame_id"]
self.ee_frame_id = params["ee_frame_id"]
self.tf = TransformTree()
self.H_EE_G = Transform.from_list(params["ee_grasp_offset"])
self.target_pose_pub = rospy.Publisher("/cmd", Pose, queue_size=10)
# Camera
self.cam_frame_id = rospy.get_param("~camera/frame_id")
info_topic = rospy.get_param("~camera/info_topic")
depth_topic = rospy.get_param("~camera/depth_topic")
msg = rospy.wait_for_message(info_topic, CameraInfo, rospy.Duration(2.0))
self.intrinsic = from_camera_info_msg(msg)
self.cv_bridge = cv_bridge.CvBridge()
self.tf = TransformTree()
self.reset_client = rospy.ServiceProxy("/reset", std_srvs.srv.Trigger)
# TSDF
self.tsdf = UniformTSDFVolume(0.3, 40)
# VGN
self.vgn = VGN(Path(rospy.get_param("vgn/model")))
rospy.sleep(1.0)
self.H_B_T = self.tf.lookup(self.base_frame_id, self.frame_id, rospy.Time.now())
self.setup_robot_connection()
self.setup_camera_connection()
self.lookup_transforms()
def setup_robot_connection(self):
self.base_frame_id = rospy.get_param("~base_frame_id")
self.ee_frame_id = rospy.get_param("~ee_frame_id")
self.ee_grasp_offset = Transform.from_list(rospy.get_param("~ee_grasp_offset"))
self.target_pose_pub = rospy.Publisher("/cmd", Pose, queue_size=10)
self.gripper = PandaGripperClient()
def setup_camera_connection(self):
self.cam_frame_id = rospy.get_param("~camera/frame_id")
info_topic = rospy.get_param("~camera/info_topic")
msg = rospy.wait_for_message(info_topic, CameraInfo, rospy.Duration(2.0))
self.intrinsic = from_camera_info_msg(msg)
depth_topic = rospy.get_param("~camera/depth_topic")
rospy.Subscriber(depth_topic, Image, self.sensor_cb, queue_size=1)
def sensor_cb(self, msg):
self.last_depth_img = self.cv_bridge.imgmsg_to_cv2(msg).astype(np.float32)
self.last_extrinsic = self.tf.lookup(
self.cam_frame_id, self.frame_id, msg.header.stamp, rospy.Duration(0.1)
self.cam_frame_id,
self.frame_id,
msg.header.stamp,
rospy.Duration(0.1),
)
def plan_best_grasp(self):
tsdf_grid = self.tsdf.get_grid()
out = self.vgn.predict(tsdf_grid)
grasps = compute_grasps(self.tsdf.voxel_size, out)
def lookup_transforms(self):
self.T_B_O = self.tf.lookup(self.base_frame_id, self.frame_id, rospy.Time.now())
vis.draw_tsdf(tsdf_grid, self.tsdf.voxel_size)
vis.draw_grasps(grasps, 0.05)
def run(self):
self.reset()
self.explore()
self.execute_grasp()
# Ensure that the camera is pointing forward.
if len(grasps) == 0:
return
grasp = grasps[0]
rot = grasp.pose.rotation
axis = rot.as_matrix()[:, 0]
if axis[0] < 0:
grasp.pose.rotation = rot * Rotation.from_euler("z", np.pi)
# Compute target pose of the EE
H_T_G = grasp.pose
H_B_EE = self.H_B_T * H_T_G * self.H_EE_G.inv()
return H_B_EE
class SingleViewBaseline(Policy):
def __init__(sel):
super().__init__()
def start(self):
def reset(self):
req = std_srvs.srv.TriggerRequest()
self.reset_client(req)
rospy.sleep(1.0) # wait for states to be updated
self.done = False
def explore(self):
r = rospy.Rate(self.rate)
while not self.done:
self.update()
r.sleep()
def update(self):
raise NotImplementedError
def execute_grasp(self):
if not self.best_grasp:
return
grasp = self.best_grasp
# Ensure that the camera is pointing forward.
rot = grasp.pose.rotation
if rot.as_matrix()[:, 0][0] < 0:
grasp.pose.rotation = rot * Rotation.from_euler("z", np.pi)
target = self.T_B_O * grasp.pose * self.ee_grasp_offset.inv()
self.gripper.move(0.08)
rospy.sleep(1.0) # TODO properly implement the simulated move server
self.target_pose_pub.publish(to_pose_msg(target))
rospy.sleep(2.0)
self.gripper.move(0.0)
rospy.sleep(1.0) # TODO
target.translation[2] += 0.3
self.target_pose_pub.publish(to_pose_msg(target))
rospy.sleep(2.0)
def predict_best_grasp(self):
tsdf_grid = self.tsdf.get_grid()
out = self.vgn.predict(tsdf_grid)
score_fn = lambda g: g.pose.translation[2]
grasps = compute_grasps(self.tsdf.voxel_size, out, score_fn)
vis.draw_grasps(grasps, 0.05)
return grasps[0] if len(grasps) > 0 else None
class SingleViewBaseline(BaseController):
def __init__(self):
super().__init__()
self.rate = 1
def reset(self):
super().reset()
def update(self):
# Integrate image
self.tsdf.integrate(
self.last_depth_img,
self.intrinsic,
self.last_extrinsic,
)
# Visualize reconstruction
cloud = self.tsdf.get_scene_cloud()
vis.draw_points(np.asarray(cloud.points))
# Plan grasp
self.best_grasp = self.plan_best_grasp()
self.best_grasp = self.predict_best_grasp()
self.done = True
return
class FixedTrajectoryBaseline(Policy):
class FixedTrajectoryBaseline(BaseController):
def __init__(self):
super().__init__()
self.rate = 10
self.duration = 4.0
self.radius = 0.1
self.m = scipy.interpolate.interp1d([0, self.duration], [np.pi, 3.0 * np.pi])
def start(self):
def reset(self):
super().reset()
self.tic = rospy.Time.now()
timeout = rospy.Duration(0.1)
x0 = self.tf.lookup(self.base_frame_id, self.ee_frame_id, self.tic, timeout)
self.origin = np.r_[x0.translation[0] + self.radius, x0.translation[1:]]
self.center = np.r_[x0.translation[0] + self.radius, x0.translation[1:]]
self.target = x0
self.done = False
def update(self):
elapsed_time = (rospy.Time.now() - self.tic).to_sec()
# Integrate image
if elapsed_time > self.duration:
self.best_grasp = self.predict_best_grasp()
self.done = True
else:
self.tsdf.integrate(
self.last_depth_img,
self.intrinsic,
self.last_extrinsic,
)
# Visualize current integration
cloud = self.tsdf.get_scene_cloud()
vis.draw_points(np.asarray(cloud.points))
if elapsed_time > self.duration:
self.best_grasp = self.plan_best_grasp()
self.done = True
return
t = self.m(elapsed_time)
self.target.translation = (
self.origin + np.r_[self.radius * np.cos(t), self.radius * np.sin(t), 0.0]
self.center
+ np.r_[self.radius * np.cos(t), self.radius * np.sin(t), 0.0]
)
self.target_pose_pub.publish(to_pose_msg(self.target))
class MultiViewPicking(Policy):
class MultiViewPicking(BaseController):
pass

58
run.py
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@ -1,57 +1,7 @@
import argparse
import rospy
from geometry_msgs.msg import Pose
import std_srvs.srv
from policies import get_policy
from robot_tools.ros.conversions import *
from robot_tools.ros.panda import PandaGripperClient
class GraspController:
def __init__(self, policy, rate):
self.policy = policy
self.rate = rate
self.reset_client = rospy.ServiceProxy("/reset", std_srvs.srv.Trigger)
self.target_pose_pub = rospy.Publisher("/cmd", Pose, queue_size=10)
self.gripper = PandaGripperClient()
rospy.sleep(1.0)
def run(self):
self.reset()
self.explore()
self.execute_grasp()
def reset(self):
req = std_srvs.srv.TriggerRequest()
self.reset_client(req)
rospy.sleep(1.0) # wait for states to be updated
def explore(self):
r = rospy.Rate(self.rate)
self.policy.start()
while not self.policy.done:
self.policy.update()
r.sleep()
def execute_grasp(self):
self.gripper.move(0.08)
rospy.sleep(1.0)
target = self.policy.best_grasp
if not target:
return
self.target_pose_pub.publish(to_pose_msg(target))
rospy.sleep(2.0)
self.gripper.move(0.0)
rospy.sleep(1.0)
target.translation[2] += 0.1
self.target_pose_pub.publish(to_pose_msg(target))
rospy.sleep(2.0)
self.gripper.move(0.08)
rospy.sleep(1.0)
from policies import get_controller
def create_parser():
@ -64,7 +14,6 @@ def create_parser():
"fixed-trajectory",
],
)
parser.add_argument("--rate", type=int, default=10)
return parser
@ -74,9 +23,8 @@ def main():
parser = create_parser()
args = parser.parse_args()
policy = get_policy(args.policy)
gc = GraspController(policy, args.rate)
gc.run()
controller = get_controller(args.policy)
controller.run()
if __name__ == "__main__":

View File

@ -37,9 +37,9 @@ class Simulation(BtManipulationSim):
def reset(self):
self.remove_all_objects()
self.set_initial_arm_configuration()
urdfs = np.random.choice(self.urdfs, 4)
self.add_random_arrangement(urdfs, np.r_[self.origin[:2], 0.625], self.length)
self.set_initial_arm_configuration()
def set_initial_arm_configuration(self):
q = self.arm.configurations["ready"]