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import numpy as np | |
from cliport.tasks.task import Task | |
from cliport.utils import utils | |
import pybullet as p | |
import random | |
class StackBlockPyramidSeq(Task): | |
"""Stacking Block Pyramid Sequence base class.""" | |
def __init__(self): | |
super().__init__() | |
self.max_steps = 12 | |
self.lang_template = "put the {pick} block on {place}" | |
self.task_completed_desc = "done stacking block pyramid." | |
self.additional_reset() | |
def reset(self, env): | |
super().reset(env) | |
# Add base. | |
# x, y, z dimensions for the asset size | |
base_size = (0.05, 0.15, 0.005) | |
base_urdf = 'stacking/stand.urdf' | |
base_pose = self.get_random_pose(env, base_size) | |
env.add_object(base_urdf, base_pose, 'fixed') | |
# Block colors. | |
colors, color_names = utils.get_colors(self.mode) | |
# Add blocks. | |
# x, y, z dimensions for the asset size | |
block_size = (0.04, 0.04, 0.04) | |
block_urdf = 'stacking/block.urdf' | |
objs = [] | |
for i in range(6): | |
block_pose = self.get_random_pose(env, block_size) | |
block_id = env.add_object(block_urdf, block_pose, color=colors[i]) | |
objs.append(block_id) | |
# Associate placement locations for goals. | |
place_pos = [(0, -0.05, 0.03), (0, 0, 0.03), | |
(0, 0.05, 0.03), (0, -0.025, 0.08), | |
(0, 0.025, 0.08), (0, 0, 0.13)] | |
targs = [(utils.apply(base_pose, i), base_pose[1]) for i in place_pos] | |
# Goal: make bottom row. | |
self.add_goal(objs=[objs[0]], matches=np.ones((1, 1)), targ_poses=[targs[0]], replace=False, | |
rotations=True, metric='pose', params=None, step_max_reward=1 / 6, symmetries=[np.pi/2]) | |
self.lang_goals.append(self.lang_template.format(pick=color_names[0], | |
place="the lightest brown block")) | |
self.add_goal(objs=[objs[1]], matches=np.ones((1, 1)), targ_poses=[targs[1]], replace=False, | |
rotations=True, metric='pose', params=None, step_max_reward=1 / 6, symmetries=[np.pi/2]) | |
self.lang_goals.append(self.lang_template.format(pick=color_names[1], | |
place="the middle brown block")) | |
self.add_goal(objs=[objs[2]], matches=np.ones((1, 1)), targ_poses=[targs[2]], replace=False, | |
rotations=True, metric='pose', params=None, step_max_reward=1 / 6, symmetries=[np.pi/2]) | |
self.lang_goals.append(self.lang_template.format(pick=color_names[2], | |
place="the darkest brown block")) | |
# Goal: make middle row. | |
self.add_goal(objs=[objs[3]], matches=np.ones((1, 1)), targ_poses=[targs[3]], replace=False, | |
rotations=True, metric='pose', params=None, step_max_reward=1 / 6, symmetries=[np.pi/2]) | |
self.lang_goals.append(self.lang_template.format(pick=color_names[3], | |
place=f"the {color_names[0]} and {color_names[1]} blocks")) | |
self.add_goal(objs=[objs[4]], matches=np.ones((1, 1)), targ_poses=[targs[4]], replace=False, | |
rotations=True, metric='pose', params=None, step_max_reward=1 / 6, symmetries=[np.pi/2]) | |
self.lang_goals.append(self.lang_template.format(pick=color_names[4], | |
place=f"the {color_names[1]} and {color_names[2]} blocks")) | |
# Goal: make top row. | |
self.add_goal(objs=[objs[5]], matches=np.ones((1, 1)), targ_poses=[targs[5]], replace=False, | |
rotations=True, metric='pose', params=None, step_max_reward=1 / 6, symmetries=[np.pi/2]) | |
self.lang_goals.append(self.lang_template.format(pick=color_names[5], | |
place=f"the {color_names[3]} and {color_names[4]} blocks")) |