Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Welcome To Ask or Share your Answers For Others

Categories

0 votes
920 views
in Technique[技术] by (71.8m points)

visualization - Visualizing an AutoDiff MultibodyPlant in PyDrake

I am trying to build a simple multibody plant system in Drake using the basic DrakeVisualizer. However, for my use case, I also want to be able to automatically track the derivatives through the physics simulation, so am using the AutoDiffXd version of system:

timestep = 1e-3
builder = DiagramBuilder_[AutoDiffXd]()

plant = MultibodyPlant(timestep)
scene_graph = SceneGraph_[AutoDiffXd]()

brick_file = FindResourceOrThrow("drake/examples/manipulation_station/models/061_foam_brick.sdf")
parser = Parser(plant)
brick = parser.AddModelFromFile(brick_file, model_name="brick")

plant.Finalize()
plant_ad = plant.ToAutoDiffXd()
plant_ad.RegisterAsSourceForSceneGraph(scene_graph)

scene_graph.AddRenderer("renderer", MakeRenderEngineVtk(RenderEngineVtkParams()))
DrakeVisualizer.AddToBuilder(builder, scene_graph)

builder.AddSystem(plant_ad)
builder.AddSystem(scene_graph)
builder.Connect(plant_ad.get_geometry_poses_output_port(), scene_graph.get_source_pose_port(plant_ad.get_source_id()))
builder.Connect(scene_graph.get_query_output_port(), plant_ad.get_geometry_query_input_port())

diagram = builder.Build()
context = diagram.CreateDefaultContext()
simulator = Simulator_[AutoDiffXd](diagram, context)
simulator.AdvanceTo(2.0)

However, when I run this, I get the following error:

  File "/home/craig/Repos/drake-exps/autoDiffExperiment.py", line 102, in auto_phys
    DrakeVisualizer.AddToBuilder(builder, scene_graph)
TypeError: AddToBuilder(): incompatible function arguments. The following argument types are supported:
    1. (builder: pydrake.systems.framework.DiagramBuilder_[float], scene_graph: drake::geometry::SceneGraph<double>, lcm: pydrake.lcm.DrakeLcmInterface = None, params: pydrake.geometry.DrakeVisualizerParams = <pydrake.geometry.DrakeVisualizerParams object at 0x7ff6274e14b0>) -> pydrake.geometry.DrakeVisualizer
    2. (builder: pydrake.systems.framework.DiagramBuilder_[float], query_object_port: pydrake.systems.framework.OutputPort_[float], lcm: pydrake.lcm.DrakeLcmInterface = None, params: pydrake.geometry.DrakeVisualizerParams = <pydrake.geometry.DrakeVisualizerParams object at 0x7ff627736730>) -> pydrake.geometry.DrakeVisualizer

Invoked with: <pydrake.systems.framework.DiagramBuilder_[AutoDiffXd] object at 0x7ff65654f8f0>, <pydrake.geometry.SceneGraph_[AutoDiffXd] object at 0x7ff656562130>

From this error, it appears the DrakeVisualizer class only accepts systems which use float scalars exlusively. So I am stuck --- either I can go back to floats (but lose the autodiff differentiable simulation functionality I was after in the first place), or continue to use autodiffxd systems (but be completely unable to visualize what is going on in my simulation).

Is there a way to get both that I am missing?


与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome To Ask or Share your Answers For Others

1 Reply

0 votes
by (71.8m points)

Sorry for the pain and inconvenience. Your description and assessment are all spot on. Most of the visualization mechanisms are float only and, in its current state, attempts to visualizing an AutoDiff diagram will fail.

You have a couple of options (neither of which is appealing):

  1. Go with one of the outcomes you've described above (no vis or no derivatives).
  2. Put in a Drake feature request to be able to attach a visualizer to an AutoDiff diagram.

I can come up with some hacky workarounds (that aren't immediately clear would even work). So, if you're desperate for derivatives and visualization, they could be explored. But, ultimately, the feature request and a formal Drake solution would be the best long-term resolution.


与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
OGeek|极客中国-欢迎来到极客的世界,一个免费开放的程序员编程交流平台!开放,进步,分享!让技术改变生活,让极客改变未来! Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Click Here to Ask a Question

1.4m articles

1.4m replys

5 comments

57.0k users

...