#!/usr/bin/env python3
# A basic example of using BlueInterface for gripper control.
# It allows a user to open and close the gripper.
from blue_interface import BlueInterface
import numpy as np
side = "right"
ip = "127.0.0.1"
blue = BlueInterface(side, ip)
# After calibration, the gripper will be closed
blue.calibrate_gripper()
opened = False
while True:
input("Press enter to open/close the gripper. To exit, press <ctrl+c>.")
if opened:
print("Closing...")
blue.command_gripper(-1.5, 20.0, wait=True)
else:
print("Opening...")
blue.command_gripper(0.0, 10.0, wait=True)
opened = not opened
class BlueRobotEnv(object):
def __init__(self, from_pixels=True, height=100, width=100, camera_id=0, control="torque"):
side = "right"
ip = "127.0.0.1"
self.blue = BlueInterface(side, ip)
self.blue.calibrate_gripper()
self._from_pixels = from_pixels
self.control = control
self._frame_skip = frame_skip
self.channels_first=True
self.camera = StreamVideo(height=height, width=width, camera_id=camera_id)
self.camera.start()
# true and normalized action spaces
self._true_action_space = spaces.Box(
low=[-3.3999, -2.2944, -2.6761, -2.2944, -2.6761, -2.2944, -2.6761, 0.0],
high=[2.3412, 0, 2.6761, 0, 2.6761, 0, 2.676, 0.0],
shape=np.zeros(8),
dtype=np.float32
)
self._norm_action_space = spaces.Box(
low=-1.0,
high=1.0,
shape=self._true_action_space.shape,
dtype=np.float32
)
# create observation space
if from_pixels:
shape = [3, height, width] if self.channels_first else [height, width, 3]
self._observation_space = spaces.Box(
low=0, high=255, shape=shape, dtype=np.uint8
)
else:
self._observation_space = _spec_to_box(
self._env.observation_spec().values()
)
self._state_space = _spec_to_box(
self._env.observation_spec().values()
)
self.current_state = None
# set seed
self.seed(seed=task_kwargs.get('random', 1))
def __delete__(self):
self.camera.stop()
@property
def observation_space(self):
return self._observation_space
@property
def state_space(self):
return self._state_space
@property
def action_space(self):
return self._norm_action_space
def step(self,a):
for _ in range(self._frame_skip):
# time_step = self._env.step(action)
# reward += time_step.reward or 0
if control=="torque":
self.blue.set_joint_torques(a[:-1])
self.blue.command_gripper(a[-1], 20.0, wait=True)
else:
self.blue.set_joint_positions(a[:-1], duration=0.1)
self.blue.command_gripper(a[-1], 20.0, wait=True)
obs = self._get_obs()
reward = 0
done = False
return obs, reward, done, None
def reset(self):
init_pos = np.array([0, -2.31, 1.57, -0.75, -1.57, 0, 0])
self.blue.set_joint_positions(init_pos, duration=0.0)
self.blue.calibrate_gripper()
self.blue.command_gripper(0.0, 20.0, wait=False)
obs = self._get_obs()
return obs
def _get_obs(self):
if self._from_pixels:
obs = self.render()
if self._channels_first:
obs = obs.transpose(2, 0, 1).copy()
else:
obs = get_robot_joints()
return obs
def render(self):
return self.camera()
@property
def get_qpos(self):
joint = self.blue.get_joint_positions()
gripper = self.blue.get_gripper_position()
return np.concatenate((joint,gripper),axis=0)
@property
def get_qvel(self):
joint = self.blue.get_joint_velocities()
gripper = 0
return np.concatenate((joint,gripper),axis=0)
def get_robot_joints(self):
return np.concatenate([
self.get_qpos,
self.get_qvel,
])
