import numpy as np from cliport.tasks.task import Task from cliport.utils import utils import pybullet as p class StackBlockPyramid(Task): """Build a pyramid of colored blocks in a color sequence""" def __init__(self): super().__init__() self.max_steps = 12 self.lang_template = "make the {row} row with {blocks}" self.task_completed_desc = "done stacking block pyramid." self.additional_reset() def reset(self, env): super().reset(env) # Add base. 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, category='fixed') # Block colors. colors = [ utils.COLORS['purple'], utils.COLORS['blue'], utils.COLORS['green'], utils.COLORS['yellow'], utils.COLORS['orange'], utils.COLORS['red'] ] # Add blocks. 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) # IMPORTANT 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: blocks are stacked in a pyramid (bottom row: green, blue, purple). self.add_goal(objs=objs[:3], matches=np.ones((3, 3)), targ_poses=targs[:3], replace=False, rotations=True, metric='pose', params=None, step_max_reward=1 / 2, symmetries=[np.pi/2]*3) self.lang_goals.append(self.lang_template.format(blocks="the green, blue and purple blocks", row="bottom")) # Goal: blocks are stacked in a pyramid (middle row: yellow, orange). self.add_goal(objs=objs[3:5], matches=np.ones((2, 2)), targ_poses=targs[3:5], replace=False, rotations=True, metric='pose', params=None, step_max_reward=1 / 3, symmetries=[np.pi/2]*2) self.lang_goals.append(self.lang_template.format(blocks="the yellow and orange blocks", row="middle")) # Goal: blocks are stacked in a pyramid (top row: red). 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]*1) self.lang_goals.append(self.lang_template.format(blocks="the red block", row="top"))