import pybullet as pb
import numpy as np
from bulletarm.pybullet.utils import constants
from bulletarm.envs.close_loop_envs.close_loop_env import CloseLoopEnv
from bulletarm.pybullet.utils import transformations
from bulletarm.planners.close_loop_block_picking_planner import CloseLoopBlockPickingPlanner
[docs]class CloseLoopHouseholdPickingEnv(CloseLoopEnv):
'''Close loop object grasping task.
The robot needs to pick up an object in a cluttered scene containing N random objects.
The number of blocks N is set by the config.
Args:
config (dict): Intialization arguments for the env
'''
def __init__(self, config):
if 'object_scale_range' not in config:
config['object_scale_range'] = [0.6, 0.6]
super().__init__(config)
def reset(self):
self.resetPybulletWorkspace()
self.robot.moveTo([self.workspace[0].mean(), self.workspace[1].mean(), 0.2], transformations.quaternion_from_euler(0, 0, 0))
self._generateShapes(constants.RANDOM_HOUSEHOLD, 1, random_orientation=self.random_orientation)
return self._getObservation()
def _getValidOrientation(self, random_orientation):
if random_orientation:
orientation = pb.getQuaternionFromEuler([0., 0., np.pi/2 * (np.random.random_sample() - 0.5)])
else:
orientation = pb.getQuaternionFromEuler([0., 0., 0.])
return orientation
def _checkTermination(self):
gripper_z = self.robot._getEndEffectorPosition()[-1]
return self.robot.holding_obj == self.objects[-1] and gripper_z > 0.08
def createCloseLoopHouseholdPickingEnv(config):
return CloseLoopHouseholdPickingEnv(config)