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Balakumar Sundaralingam
2023-10-26 04:17:19 -07:00
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examples/isaac_sim/motion_gen_reacher_nvblox.py Normal file
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#
# Copyright (c) 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
# property and proprietary rights in and to this material, related
# documentation and any modifications thereto. Any use, reproduction,
# disclosure or distribution of this material and related documentation
# without an express license agreement from NVIDIA CORPORATION or
# its affiliates is strictly prohibited.
#
# Third Party
import torch
a = torch.zeros(4, device="cuda:0")
# Standard Library
import argparse
# CuRobo
# from curobo.wrap.reacher.ik_solver import IKSolver, IKSolverConfig
from curobo.geom.sdf.world import CollisionCheckerType
from curobo.geom.types import WorldConfig
from curobo.types.base import TensorDeviceType
from curobo.types.math import Pose
from curobo.types.robot import JointState, RobotConfig
from curobo.types.state import JointState
from curobo.util_file import get_robot_configs_path, get_world_configs_path, join_path, load_yaml
from curobo.wrap.reacher.motion_gen import MotionGen, MotionGenConfig, MotionGenPlanConfig
from curobo.wrap.reacher.mpc import MpcSolver, MpcSolverConfig
parser = argparse.ArgumentParser()
parser.add_argument(
"--headless", action="store_true", help="When True, enables headless mode", default=False
)
parser.add_argument(
"--visualize_spheres",
action="store_true",
help="When True, visualizes robot spheres",
default=False,
)
parser.add_argument("--robot", type=str, default="franka.yml", help="robot configuration to load")
args = parser.parse_args()
############################################################
# Third Party
from omni.isaac.kit import SimulationApp
simulation_app = SimulationApp(
{
"headless": args.headless,
"width": "1920",
"height": "1080",
}
)
# Third Party
from omni.isaac.core.utils.extensions import enable_extension
# CuRobo
from curobo.util_file import (
get_assets_path,
get_filename,
get_path_of_dir,
get_robot_configs_path,
join_path,
load_yaml,
)
ext_list = [
"omni.kit.asset_converter",
"omni.kit.livestream.native",
"omni.kit.tool.asset_importer",
"omni.isaac.asset_browser",
]
# [enable_extension(x) for x in ext_list]
# simulation_app.update()
# Standard Library
from typing import Dict
# Third Party
import carb
import numpy as np
from helper import add_robot_to_scene
from omni.isaac.core import World
from omni.isaac.core.objects import cuboid, sphere
from omni.isaac.core.robots import Robot
########### OV #################
from omni.isaac.core.utils.extensions import enable_extension
from omni.isaac.core.utils.types import ArticulationAction
# CuRobo
from curobo.util.logger import setup_curobo_logger
from curobo.util.usd_helper import UsdHelper
############################################################
########### OV #################;;;;;
############################################################
def main():
# assuming obstacles are in objects_path:
my_world = World(stage_units_in_meters=1.0)
stage = my_world.stage
xform = stage.DefinePrim("/World", "Xform")
stage.SetDefaultPrim(xform)
stage.DefinePrim("/curobo", "Xform")
# my_world.stage.SetDefaultPrim(my_world.stage.GetPrimAtPath("/World"))
stage = my_world.stage
# stage.SetDefaultPrim(stage.GetPrimAtPath("/World"))
# Make a target to follow
target = cuboid.VisualCuboid(
"/World/target",
position=np.array([0.5, 0, 0.5]),
orientation=np.array([0, 1, 0, 0]),
color=np.array([1.0, 0, 0]),
size=0.05,
)
setup_curobo_logger("warn")
past_pose = None
# warmup curobo instance
usd_help = UsdHelper()
target_pose = None
tensor_args = TensorDeviceType()
robot_cfg = load_yaml(join_path(get_robot_configs_path(), args.robot))["robot_cfg"]
j_names = robot_cfg["kinematics"]["cspace"]["joint_names"]
default_config = robot_cfg["kinematics"]["cspace"]["retract_config"]
robot, _ = add_robot_to_scene(robot_cfg, my_world)
articulation_controller = robot.get_articulation_controller()
world_cfg_table = WorldConfig.from_dict(
load_yaml(join_path(get_world_configs_path(), "collision_table.yml"))
)
world_cfg = WorldConfig.from_dict(
load_yaml(join_path(get_world_configs_path(), "collision_nvblox.yml"))
)
world_cfg_table.cuboid[0].pose[2] -= 0.04
world_cfg.add_obstacle(world_cfg_table.cuboid[0])
motion_gen_config = MotionGenConfig.load_from_robot_config(
robot_cfg,
world_cfg,
tensor_args,
trajopt_tsteps=32,
collision_checker_type=CollisionCheckerType.BLOX,
use_cuda_graph=True,
num_trajopt_seeds=12,
num_graph_seeds=12,
interpolation_dt=0.03,
collision_activation_distance=0.025,
acceleration_scale=1.0,
self_collision_check=True,
maximum_trajectory_dt=0.25,
finetune_dt_scale=1.05,
fixed_iters_trajopt=True,
finetune_trajopt_iters=500,
minimize_jerk=False,
)
motion_gen = MotionGen(motion_gen_config)
print("warming up...")
motion_gen.warmup(enable_graph=True, warmup_js_trajopt=False)
print("Curobo is Ready")
plan_config = MotionGenPlanConfig(
enable_graph=False, enable_graph_attempt=4, max_attempts=2, enable_finetune_trajopt=True
)
usd_help.load_stage(my_world.stage)
usd_help.add_world_to_stage(world_cfg.get_mesh_world(), base_frame="/World")
cmd_plan = None
cmd_idx = 0
my_world.scene.add_default_ground_plane()
i = 0
spheres = None
while simulation_app.is_running():
my_world.step(render=True)
if not my_world.is_playing():
if i % 100 == 0:
print("**** Click Play to start simulation *****")
i += 1
# if step_index == 0:
# my_world.play()
continue
step_index = my_world.current_time_step_index
# print(step_index)
if step_index == 0:
my_world.reset()
idx_list = [robot.get_dof_index(x) for x in j_names]
robot.set_joint_positions(default_config, idx_list)
robot._articulation_view.set_max_efforts(
values=np.array([5000 for i in range(len(idx_list))]), joint_indices=idx_list
)
if step_index < 20:
continue
# position and orientation of target virtual cube:
cube_position, cube_orientation = target.get_world_pose()
if past_pose is None:
past_pose = cube_position
if target_pose is None:
target_pose = cube_position
sim_js = robot.get_joints_state()
sim_js_names = robot.dof_names
cu_js = JointState(
position=tensor_args.to_device(sim_js.positions),
velocity=tensor_args.to_device(sim_js.velocities) * 0.0,
acceleration=tensor_args.to_device(sim_js.velocities) * 0.0,
jerk=tensor_args.to_device(sim_js.velocities) * 0.0,
joint_names=sim_js_names,
)
cu_js = cu_js.get_ordered_joint_state(motion_gen.kinematics.joint_names)
if args.visualize_spheres and step_index % 2 == 0:
sph_list = motion_gen.kinematics.get_robot_as_spheres(cu_js.position)
if spheres is None:
spheres = []
# create spheres:
for si, s in enumerate(sph_list[0]):
sp = sphere.VisualSphere(
prim_path="/curobo/robot_sphere_" + str(si),
position=np.ravel(s.position),
radius=float(s.radius),
color=np.array([0, 0.8, 0.2]),
)
spheres.append(sp)
else:
for si, s in enumerate(sph_list[0]):
spheres[si].set_world_pose(position=np.ravel(s.position))
spheres[si].set_radius(float(s.radius))
# print(sim_js.velocities)
if (
np.linalg.norm(cube_position - target_pose) > 1e-3
and np.linalg.norm(past_pose - cube_position) == 0.0
and np.linalg.norm(sim_js.velocities) < 0.2
):
# Set EE teleop goals, use cube for simple non-vr init:
ee_translation_goal = cube_position
ee_orientation_teleop_goal = cube_orientation
# compute curobo solution:
ik_goal = Pose(
position=tensor_args.to_device(ee_translation_goal),
quaternion=tensor_args.to_device(ee_orientation_teleop_goal),
)
result = motion_gen.plan_single(cu_js.unsqueeze(0), ik_goal, plan_config)
# ik_result = ik_solver.solve_single(ik_goal, cu_js.position.view(1,-1), cu_js.position.view(1,1,-1))
succ = result.success.item() # ik_result.success.item()
if succ:
cmd_plan = result.get_interpolated_plan()
cmd_plan = motion_gen.get_full_js(cmd_plan)
# get only joint names that are in both:
idx_list = []
common_js_names = []
for x in sim_js_names:
if x in cmd_plan.joint_names:
idx_list.append(robot.get_dof_index(x))
common_js_names.append(x)
# idx_list = [robot.get_dof_index(x) for x in sim_js_names]
cmd_plan = cmd_plan.get_ordered_joint_state(common_js_names)
cmd_idx = 0
else:
carb.log_warn("Plan did not converge to a solution. No action is being taken.")
target_pose = cube_position
past_pose = cube_position
if cmd_plan is not None:
cmd_state = cmd_plan[cmd_idx]
# get full dof state
art_action = ArticulationAction(
cmd_state.position.cpu().numpy(),
cmd_state.velocity.cpu().numpy(),
joint_indices=idx_list,
)
# set desired joint angles obtained from IK:
articulation_controller.apply_action(art_action)
cmd_idx += 1
for _ in range(2):
my_world.step(render=False)
if cmd_idx >= len(cmd_plan.position):
cmd_idx = 0
cmd_plan = None
simulation_app.close()
if __name__ == "__main__":
main()