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