Simulators¶
Overview¶
Simulator maintains an instance of Renderer and PhysicsEngine and provides APIs to import Scene, Object and Robot into both of them and keep them synchronized at all time.
Some key functions are the following:
load
: initialize PyBullet physics engine and MeshRendererimport_{scene, ig_scene}
: import the scene into PyBullet by callingscene.load
, and then import it into MeshRenderer by callingself.renderer.add_instance
. IfInteractiveIndoorScene
is imported usingimport_ig_scene
, all objects in the scene are also imported.import_{object, articulated_object, robot}
: import the object, articulated object and robot into the simulator in a similar mannersync
: synchronize the poses of the dynamic objects (including the robots) between PyBullet and MeshRenderer. Specifically, it callsupdate_position
for each object, in which it retrieve the object’s pose in PyBullet, and then update its pose accordingly in MeshRenderer.
If Simulator
uses gui
mode, by default it will also maintain a Viewer
, which essentially is a virtual camera in the scene that can render images. More info about the Viewer
can be found here: igibson/render/viewer.py. Notably, you can press h
in the ExternalView
window to show the help menu for mouse/keyboard control.
Most of the code can be found here: igibson/simulator.py.
Examples¶
In this example, we import a StaticIndoorScene
, a Turtlebot
, and ten YCBObject
into the simulator. The code can be found here: igibson/examples/demo/simulator_example.py
from igibson.robots.turtlebot_robot import Turtlebot
from igibson.simulator import Simulator
from igibson.scenes.gibson_indoor_scene import StaticIndoorScene
from igibson.objects.ycb_object import YCBObject
from igibson.utils.utils import parse_config
from igibson.render.mesh_renderer.mesh_renderer_settings import MeshRendererSettings
import numpy as np
from igibson.render.profiler import Profiler
from IPython import embed
def main():
config = parse_config('../configs/turtlebot_demo.yaml')
settings = MeshRendererSettings(enable_shadow=False, msaa=False)
s = Simulator(mode='gui', image_width=256,
image_height=256, rendering_settings=settings)
scene = StaticIndoorScene('Rs',
build_graph=True,
pybullet_load_texture=True)
s.import_scene(scene)
turtlebot = Turtlebot(config)
s.import_robot(turtlebot)
for _ in range(10):
obj = YCBObject('003_cracker_box')
s.import_object(obj)
obj.set_position_orientation(np.random.uniform(
low=0, high=2, size=3), [0, 0, 0, 1])
print(s.renderer.instances)
for i in range(10000):
with Profiler('Simulator step'):
turtlebot.apply_action([0.1, 0.1])
s.step()
rgb = s.renderer.render_robot_cameras(modes=('rgb'))
s.disconnect()
if __name__ == '__main__':
main()