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NVIDIA Isaac Sim: 複数ロボットの追加

2022/03/19に公開約19,400字

概要

Adding Controllerのチュートリアルを進めます。
このチュートリアルはmulti robotのチュートリアルの6部の内の5部目です。

Issac Simのtutorialに上記の内容が記載されており、この内容に沿って進めます。

https://docs.omniverse.nvidia.com/app_isaacsim/app_isaacsim/tutorial_required_adding_multiple_robots.html

実行環境

  • インストール実行環境
unit specification
CPU i9-11900H
GPU GeForce RTX 3080 Laptop
RAM 32GB
OS Ubuntu 20.04.3 LTS
  • Nvidia Driverバージョン
    • 510.39.01
  • Issac simバージョン
    • 2021.2.1

概要

Frankaを追加したAwesome worldのExampleのソースコードに処理を追加し、シーンにNvidia Jetbotを追加します。
次の手順を進めます。

  1. Awesome Exampleのソースコードを開く
  2. Nvidia Jetbotを追加する

1. Awesome Exampleのソースコードを開く

1.1 OmniverseからIssac Simを起動する

1.2 Awesome Exampleのソースコードを表示

メニューバーのIsaac Examples > Awesome Exampleを選択します。

次に、Awesome Examplesのウィンドウの右上にある3つのボタンの内、一番左側のOpen Source Codeボタンを選択します。

選択すると、がVScodeが開き、Hello Worldのソースコードが表示されます。

2. Nvidia Jetbotを追加する

vscode上で、hello_world.pyを編集します。

2.1 Jetbotの追加

Jetbotをシーンに追加します。
hello_world.pyのsetup_sceneメソッドに次の処理を追加します。

Python3
from omni.isaac.examples.base_sample import BaseSample
from omni.isaac.franka.tasks import PickPlace
from omni.isaac.jetbot import Jetbot
from omni.isaac.core.tasks import BaseTask
import numpy as np

class RobotsPlaying(BaseTask):
    def __init__(
        self,
        name
    ):
        super().__init__(name=name, offset=None)
        self._jetbot_goal_position = np.array([130, 30, 0])
        self._pick_place_task = PickPlace(cube_initial_position=np.array([10, 30, 5]),
                                        target_position=np.array([70, -30, 5.15 / 2.0]))
        return

    def set_up_scene(self, scene):
        super().set_up_scene(scene)
        self._pick_place_task.set_up_scene(scene)
        self._jetbot = scene.add(Jetbot(prim_path="/World/Fancy_Jetbot",
                                        name="fancy_jetbot",
                                        position=np.array([0, 30, 0])))
        pick_place_params = self._pick_place_task.get_params()
        self._franka = scene.get_object(pick_place_params["robot_name"]["value"])
        self._franka.set_world_pose(position=np.array([100, 0, 0]))
        self._franka.set_default_state(position=np.array([100, 0, 0]))
        return

    def get_observations(self):
        current_jetbot_position, current_jetbot_orientation = self._jetbot.get_world_pose()
        observations= {
            self._jetbot.name: {
                "position": current_jetbot_position,
                "orientation": current_jetbot_orientation,
                "goal_position": self._jetbot_goal_position
            }
        }
        return observations

    def get_params(self):
        pick_place_params = self._pick_place_task.get_params()
        params_representation = pick_place_params
        params_representation["jetbot_name"] = {"value": self._jetbot.name, "modifiable": False}
        params_representation["franka_name"] = pick_place_params["robot_name"]
        return params_representation


class HelloWorld(BaseSample):
    def __init__(self) -> None:
        super().__init__()
        return

    def setup_scene(self):
        world = self.get_world()
        world.add_task(RobotsPlaying(name="awesome_task"))
        return

追加後、Ctrl+Saveとhot reloadが実行されます。
メニューバーのIsaac Examples > Awesome Exampleを選択し、Loadを選択すると、ソースコードの変更部分が反映された状態で表示されます。

2.2 Jetbotを用いてCubeを移動させる

シーンに追加したJetbotでCubeを押し、FrankaがPickする位置まで移動させる処理を追加します。
hello_world.pyを次の様に編集します。

Python3
from omni.isaac.examples.base_sample import BaseSample
from omni.isaac.franka.tasks import PickPlace
from omni.isaac.jetbot import Jetbot
from omni.isaac.motion_generation import WheelBasePoseController
from omni.isaac.jetbot.controllers import DifferentialController
from omni.isaac.core.tasks import BaseTask
import numpy as np


class RobotsPlaying(BaseTask):
    def __init__(
        self,
        name
    ):
        super().__init__(name=name, offset=None)
        self._jetbot_goal_position = np.array([130, 30, 0])
        self._pick_place_task = PickPlace(cube_initial_position=np.array([10, 30, 5]),
                                        target_position=np.array([70, -30, 5.15 / 2.0]))
        return

    def set_up_scene(self, scene):
        super().set_up_scene(scene)
        self._pick_place_task.set_up_scene(scene)
        self._jetbot = scene.add(Jetbot(prim_path="/World/Fancy_Jetbot",
                                        name="fancy_jetbot",
                                        position=np.array([0, 30, 0])))
        pick_place_params = self._pick_place_task.get_params()
        self._franka = scene.get_object(pick_place_params["robot_name"]["value"])
        self._franka.set_world_pose(position=np.array([100, 0, 0]))
        self._franka.set_default_state(position=np.array([100, 0, 0]))
        return

    def get_observations(self):
        current_jetbot_position, current_jetbot_orientation = self._jetbot.get_world_pose()
        observations= {
            self._jetbot.name: {
                "position": current_jetbot_position,
                "orientation": current_jetbot_orientation,
                "goal_position": self._jetbot_goal_position
            }
        }
        return observations

    def get_params(self):
        pick_place_params = self._pick_place_task.get_params()
        params_representation = pick_place_params
        params_representation["jetbot_name"] = {"value": self._jetbot.name, "modifiable": False}
        params_representation["franka_name"] = pick_place_params["robot_name"]
        return params_representation


class HelloWorld(BaseSample):
    def __init__(self) -> None:
        super().__init__()
        return

    def setup_scene(self):
        world = self.get_world()
        world.add_task(RobotsPlaying(name="awesome_task"))
        return

    async def setup_post_load(self):
        self._world = self.get_world()
        task_params = self._world.get_task("awesome_task").get_params()
        self._jetbot = self._world.scene.get_object(task_params["jetbot_name"]["value"])
        self._cube_name = task_params["cube_name"]["value"]
        self._jetbot_controller = WheelBasePoseController(name="cool_controller",
                                                        open_loop_wheel_controller=DifferentialController(name="open_loop_controller"))
        self._world.add_physics_callback("sim_step", callback_fn=self.physics_step)
        await self._world.play_async()
        return

    async def setup_post_reset(self):
        self._jetbot_controller.reset()
        await self._world.play_async()
        return

    def physics_step(self, step_size):
        current_observations = self._world.get_observations()
        self._jetbot.apply_wheel_actions(
            self._jetbot_controller.forward(
                start_position=current_observations[self._jetbot.name]["position"],
                start_orientation=current_observations[self._jetbot.name]["orientation"],
                goal_position=current_observations[self._jetbot.name]["goal_position"]))
        return

追加後、Ctrl+Saveとhot reloadが実行されます。

メニューバーのIsaac Examples > Awesome Exampleを選択し、Loadを選択すると、ソースコードの変更部分が反映された状態で表示されます。
この状態で、Viewportの左側のPLAYボタンを押すと、JetbotがCubeを指定の位置に移動させます。

2.3 Jetbotを元の位置に戻す処理を追加する

JetbotがCubeを移動させた後、最初の位置に戻る処理を追加します。
hello_world.pyを次の様に編集します。

Python3
from omni.isaac.examples.base_sample import BaseSample
from omni.isaac.franka.tasks import PickPlace
from omni.isaac.jetbot import Jetbot
from omni.isaac.motion_generation import WheelBasePoseController
from omni.isaac.jetbot.controllers import DifferentialController
from omni.isaac.core.tasks import BaseTask
from omni.isaac.core.utils.types import ArticulationAction
import numpy as np


class RobotsPlaying(BaseTask):
    def __init__(
        self,
        name
    ):
        super().__init__(name=name, offset=None)
        self._jetbot_goal_position = np.array([130, 30, 0])
        # Add task logic to signal to the robots which task is active
        self._task_event = 0
        self._pick_place_task = PickPlace(cube_initial_position=np.array([10, 30, 5]),
                                        target_position=np.array([70, -30, 5.15 / 2.0]))
        return

    def set_up_scene(self, scene):
        super().set_up_scene(scene)
        self._pick_place_task.set_up_scene(scene)
        self._jetbot = scene.add(Jetbot(prim_path="/World/Fancy_Jetbot",
                                        name="fancy_jetbot",
                                        position=np.array([0, 30, 0])))
        pick_place_params = self._pick_place_task.get_params()
        self._franka = scene.get_object(pick_place_params["robot_name"]["value"])
        self._franka.set_world_pose(position=np.array([100, 0, 0]))
        self._franka.set_default_state(position=np.array([100, 0, 0]))
        return

    def get_observations(self):
        current_jetbot_position, current_jetbot_orientation = self._jetbot.get_world_pose()
        observations= {
            "task_event": self._task_event,
            self._jetbot.name: {
                "position": current_jetbot_position,
                "orientation": current_jetbot_orientation,
                "goal_position": self._jetbot_goal_position
            }
        }
        return observations

    def get_params(self):
        pick_place_params = self._pick_place_task.get_params()
        params_representation = pick_place_params
        params_representation["jetbot_name"] = {"value": self._jetbot.name, "modifiable": False}
        params_representation["franka_name"] = pick_place_params["robot_name"]
        return params_representation

    def pre_step(self, control_index, simulation_time):
        if self._task_event == 0:
            current_jetbot_position, _ = self._jetbot.get_world_pose()
            if np.mean(np.abs(current_jetbot_position[:2] - self._jetbot_goal_position[:2])) < 4:
                self._task_event += 1
                self._cube_arrive_step_index = control_index
        elif self._task_event == 1:
            # Jetbot has 200 time steps to back off from Franka
            if control_index - self._cube_arrive_step_index == 200:
                self._task_event += 1
        return

    def post_reset(self):
        self._task_event = 0
        return



class HelloWorld(BaseSample):
    def __init__(self) -> None:
        super().__init__()
        return

    def setup_scene(self):
        world = self.get_world()
        world.add_task(RobotsPlaying(name="awesome_task"))
        return

    async def setup_post_load(self):
        self._world = self.get_world()
        task_params = self._world.get_task("awesome_task").get_params()
        self._jetbot = self._world.scene.get_object(task_params["jetbot_name"]["value"])
        self._cube_name = task_params["cube_name"]["value"]
        self._jetbot_controller = WheelBasePoseController(name="cool_controller",
                                                        open_loop_wheel_controller=DifferentialController(name="open_loop_controller"))
        self._world.add_physics_callback("sim_step", callback_fn=self.physics_step)
        await self._world.play_async()
        return

    async def setup_post_reset(self):
        self._jetbot_controller.reset()
        await self._world.play_async()
        return

    def physics_step(self, step_size):
        current_observations = self._world.get_observations()
        if current_observations["task_event"] == 0:
            self._jetbot.apply_wheel_actions(
                self._jetbot_controller.forward(
                    start_position=current_observations[self._jetbot.name]["position"],
                    start_orientation=current_observations[self._jetbot.name]["orientation"],
                    goal_position=current_observations[self._jetbot.name]["goal_position"]))
        elif current_observations["task_event"] == 1:
            self._jetbot.apply_wheel_actions(ArticulationAction(joint_velocities=[-10, -10]))
        elif current_observations["task_event"] == 2:
            self._jetbot.apply_wheel_actions(ArticulationAction(joint_velocities=[0.0, 0.0]))
        return

追加後、Ctrl+Saveとhot reloadが実行されます。

メニューバーのIsaac Examples > Awesome Exampleを選択し、Loadを選択すると、ソースコードの変更部分が反映された状態で表示されます。
この状態で、Viewportの左側のPLAYボタンを押すと、JetbotがCubeを移動させた後、最初の位置に戻ります。

2.4 FrankaでCubeをPickする

シーンに追加したJetbotでCubeを押し、FrankaでCubeをPickさせる処理を追加します。
hello_world.pyを次の様に編集します。

Python3
from omni.isaac.examples.base_sample import BaseSample
from omni.isaac.franka.tasks import PickPlace
from omni.isaac.franka.controllers import PickPlaceController
from omni.isaac.jetbot import Jetbot
from omni.isaac.motion_generation import WheelBasePoseController
from omni.isaac.jetbot.controllers import DifferentialController
from omni.isaac.core.tasks import BaseTask
from omni.isaac.core.utils.types import ArticulationAction
import numpy as np


class RobotsPlaying(BaseTask):
    def __init__(self, name):
        super().__init__(name=name, offset=None)
        self._task_event = 0
        self._jetbot_goal_position = np.array([130, 30, 0])
        self._pick_place_task = PickPlace(cube_initial_position=np.array([10, 30, 5]),
                                        target_position=np.array([70, -30, 5.15 / 2.0]))
        return

    def set_up_scene(self, scene):
        super().set_up_scene(scene)
        self._pick_place_task.set_up_scene(scene)
        self._jetbot = scene.add(Jetbot(prim_path="/World/Fancy_Jetbot",
                                        name="fancy_jetbot",
                                        position=np.array([0, 30, 0])))
        pick_place_params = self._pick_place_task.get_params()
        self._franka = scene.get_object(pick_place_params["robot_name"]["value"])
        self._franka.set_world_pose(position=np.array([100, 0, 0]))
        self._franka.set_default_state(position=np.array([100, 0, 0]))
        return

    def get_observations(self):
        current_jetbot_position, current_jetbot_orientation = self._jetbot.get_world_pose()
        observations= {
            "task_event": self._task_event,
            self._jetbot.name: {
                "position": current_jetbot_position,
                "orientation": current_jetbot_orientation,
                "goal_position": self._jetbot_goal_position
            }
        }
        # add the subtask's observations as well
        observations.update(self._pick_place_task.get_observations())
        return observations

    def get_params(self):
        pick_place_params = self._pick_place_task.get_params()
        params_representation = pick_place_params
        params_representation["jetbot_name"] = {"value": self._jetbot.name, "modifiable": False}
        params_representation["franka_name"] = pick_place_params["robot_name"]
        return params_representation


    def pre_step(self, control_index, simulation_time):
        if self._task_event == 0:
            current_jetbot_position, _ = self._jetbot.get_world_pose()
            if np.mean(np.abs(current_jetbot_position[:2] - self._jetbot_goal_position[:2])) < 4:
                self._task_event += 1
                self._cube_arrive_step_index = control_index
        elif self._task_event == 1:
            if control_index - self._cube_arrive_step_index == 200:
                self._task_event += 1
        return

    def post_reset(self):
        self._task_event = 0
        return


class HelloWorld(BaseSample):
    def __init__(self) -> None:
        super().__init__()
        return

    def setup_scene(self):
        world = self.get_world()
        world.add_task(RobotsPlaying(name="awesome_task"))
        return

    async def setup_post_load(self):
        self._world = self.get_world()
        task_params = self._world.get_task("awesome_task").get_params()
        self._franka = self._world.scene.get_object(task_params["franka_name"]["value"])
        self._jetbot = self._world.scene.get_object(task_params["jetbot_name"]["value"])
        self._cube_name = task_params["cube_name"]["value"]
        self._franka_controller = PickPlaceController(name="pick_place_controller",
                                                    gripper_dof_indices=self._franka.gripper.dof_indices,
                                                    robot_prim_path=self._franka.prim_path)
        self._jetbot_controller = WheelBasePoseController(name="cool_controller",
                                                        open_loop_wheel_controller=DifferentialController(name="open_loop_controller"))
        self._world.add_physics_callback("sim_step", callback_fn=self.physics_step)
        await self._world.play_async()
        return

    async def setup_post_reset(self):
        self._franka_controller.reset()
        self._jetbot_controller.reset()
        await self._world.play_async()
        return

    def physics_step(self, step_size):
        current_observations = self._world.get_observations()
        if current_observations["task_event"] == 0:
            self._jetbot.apply_wheel_actions(
                self._jetbot_controller.forward(
                    start_position=current_observations[self._jetbot.name]["position"],
                    start_orientation=current_observations[self._jetbot.name]["orientation"],
                    goal_position=current_observations[self._jetbot.name]["goal_position"]))
        elif current_observations["task_event"] == 1:
            self._jetbot.apply_wheel_actions(ArticulationAction(joint_velocities=[-10, -10]))
        elif current_observations["task_event"] == 2:
            self._jetbot.apply_wheel_actions(ArticulationAction(joint_velocities=[0.0, 0.0]))
            actions = self._franka_controller.forward(
                picking_position=current_observations[self._cube_name]["position"],
                placing_position=current_observations[self._cube_name]["target_position"],
                current_joint_positions=current_observations[self._franka.name]["joint_positions"])
            self._franka.apply_action(actions)
        if self._franka_controller.is_done():
            self._world.pause()
        return

追加後、Ctrl+Saveとhot reloadが実行されます。

メニューバーのIsaac Examples > Awesome Exampleを選択し、Loadを選択すると、ソースコードの変更部分が反映された状態で表示されます。
この状態で、Viewportの左側のPLAYボタンを押すと、JetbotがCubeを移動し、FrankaがPickします。

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