import numpy as np from cliport.tasks.task import Task from cliport.utils import utils class BlockOnCylinderOnPallet(Task): """Pick up each block and place it on the corresponding colored cylinder, which are located in specific positions on a pallet.""" def __init__(self): super().__init__() self.max_steps = 15 self.lang_template = "place the {} cylinder on the pallet" self.lang_template_2 = "place the {} block on the {} cylinder" self.task_completed_desc = "done placing blocks on cylinders and cylinder on pallet." self.additional_reset() def reset(self, env): super().reset(env) # Add pallet. pallet_size = (0.35, 0.35, 0.01) pallet_pose = self.get_random_pose(env, pallet_size) pallet_urdf = 'pallet/pallet.urdf' env.add_object(pallet_urdf, pallet_pose, 'fixed') # Define colors. block_colors = ['red'] cylinder_colors = ['blue'] # Add cylinders. cylinder_size = (0.04, 0.04, 0.06) cylinder_template = 'cylinder/cylinder-template.urdf' cylinders = [] replace = {'DIM': cylinder_size, 'HALF': (cylinder_size[0] / 2, cylinder_size[1] / 2, cylinder_size[2] / 2), 'COLOR': block_colors[0]} cylinder_urdf = self.fill_template(cylinder_template, replace) cylinder_pose = self.get_random_pose(env, cylinder_size) cylinder_id = env.add_object(cylinder_urdf, cylinder_pose) cylinders.append(cylinder_id) # Add blocks. block_size = (0.04, 0.04, 0.04) block_urdf = 'block/block.urdf' blocks = [] block_pose = self.get_random_pose(env, block_size) block_id = env.add_object(block_urdf, block_pose, color=cylinder_colors[0]) blocks.append(block_id) # Goal: place the cylinder on top of the pallet self.add_goal(objs=[cylinders[0]], matches=np.ones((1, 1)), targ_poses=[pallet_pose], replace=False, rotations=True, metric='pose', params=None, step_max_reward=1/2, language_goal=self.lang_template.format(cylinder_colors[0])) # Goal: place the block on top of the cylinder language_goal = self.lang_template_2.format(block_colors[0], cylinder_colors[0]) self.add_goal(objs=[blocks[0]], matches=np.ones((1, 1)), targ_poses=[pallet_pose], replace=False, rotations=True, metric='pose', params=None, step_max_reward=1/2, language_goal=language_goal)