Skip to main content

A set of convenient logging and testing tools for the Drake robotics toolbox.

Project description

codecov

brom_drake-py

Brom is a helper library for the Drake robotics simulation and verification library. Its goal is to simplify common debugging and testing activities in Drake (for example, logging the outputs of systems in your block diagrams).

Some of Brom's features:

Feature Code Results
The Diagram Watcher (the DiagramWatcher will log + plot all output ports of your Diagram automatically) add_watcher_and_build() Creation of Brom Directory
The Drake-ify feature (converts your URDF file into a form that Drake can consume) drakeify_my_urdf() Drakeify Example

(More coming soon...)

Installation

brom_drake is available on PyPI and installable with pip:

pip install brom-drake

Developer install

You can also install the package during local development by cloning the repository and running the following commands from inside it:

pip install -r requirements.txt
pip install -e .

Use Cases

Here are a few of the features available in brom_drake and how they work.

Easily Log Your Diagram's Signals

It is recommended that you use the convenience function add_watcher_and_build to add a DiagramWatcher to your diagram.

# Drake imports
from pydrake.all import (
    DiagramBuilder, Simulator,
)
# All your other imports

from brom_drake.all import add_watcher_and_build

# Create a diagram builder
builder = DiagramBuilder()

# Add and connect your systems...

# Add the watcher and build the diagram
watcher, diagram, diagram_context = add_watcher_and_build(builder)

# Set up simulation
simulator = Simulator(diagram, diagram_context)
simulator.set_target_realtime_rate(1.0)
simulator.set_publish_every_time_step(False)

# Run simulation
simulator.Initialize()
simulator.AdvanceTo(15.0)

What will happen whenever you use this function is that:

  • The DiagramWatcher will be created.
    • It will search through all systems that the DiagramBuilder has added.
    • For each system, the watcher will add a VectorLogger to each output port that is a kVectorValued port.
    • The DiagramWatcher will connect all loggers to all targeted ports (in the above case, we will target all available output ports).
  • After the simulation is run and the script completes, the watcher will save all data traces for each port in .png files. These plots will be in a new .brom directory.

Watching Specific systems

If you only want to watch a specific system, then you can do so by passing in information to the "targets" argument:

watcher, _, _ = add_watcher_and_build(
  builder,
  targets=[
    ("system_name", "port_name"),
    "system_name2",
  ],
)

The above code tells the watcher to watch the port named port_name on the system named system_name. (If you don't know your system's name in Drake, then you can usually find it by using the get_name() method.)

FAQs

Why the name Brom?

Brom the storyteller is a character from the Inheritance series by Christopher Paolini. He is a wise mentor that helps Eragon (the protagonist) master dragons. ;)

Related Work

Some other work in the open-source drake community:

  • kinova_drake - A Drake-based library that builds a simple version of the manipulation station for the Kinova Gen3 robot arm. Also works with the hardware.
  • airo-drake - A python package meant to simplify working with Drake and the airo-mono repository from the AI and Robotics Lab at Ghent University.

To-Dos

  • Figure out how to tell if two systems are connected in Drake.
  • Add support for abstract output ports?
  • Add more readme explanations of what is going on under the hood.
  • Add Documentation
  • Create a method that makes each material in a URDF file have unique names if they have specific values
  • Add methods for saving the state names on state plots from diagram watcher
  • Add methods for over or under-approximating complex mehes with cylinders or circles or other shapes.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

brom_drake-0.2.7.tar.gz (51.5 kB view details)

Uploaded Source

Built Distribution

brom_drake-0.2.7-py3-none-any.whl (77.1 kB view details)

Uploaded Python 3

File details

Details for the file brom_drake-0.2.7.tar.gz.

File metadata

  • Download URL: brom_drake-0.2.7.tar.gz
  • Upload date:
  • Size: 51.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for brom_drake-0.2.7.tar.gz
Algorithm Hash digest
SHA256 126875559be7d304922c6b8444878bf0298f56ac616392ef4b4fd8d7b1406871
MD5 9995c5dfcd73dfb510863f2429ba8aa3
BLAKE2b-256 3cc0fbbc9df8d78d3d054b5e9030a4f57fa058498d9b03048fdabf9bb1a525f9

See more details on using hashes here.

Provenance

The following attestation bundles were made for brom_drake-0.2.7.tar.gz:

Publisher: deploy-to-pypi.yml on kwesiRutledge/brom_drake-py

Attestations:

File details

Details for the file brom_drake-0.2.7-py3-none-any.whl.

File metadata

  • Download URL: brom_drake-0.2.7-py3-none-any.whl
  • Upload date:
  • Size: 77.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for brom_drake-0.2.7-py3-none-any.whl
Algorithm Hash digest
SHA256 43642091fab58da7a8a45b0722809e9c004f9760a78fe9d41831c3f222c34833
MD5 1b0465d8a19d323f0b105197e7532290
BLAKE2b-256 33d100e01d9fd19d9c4e772c3032fe201dd6342973605c5444bf56ea12a55760

See more details on using hashes here.

Provenance

The following attestation bundles were made for brom_drake-0.2.7-py3-none-any.whl:

Publisher: deploy-to-pypi.yml on kwesiRutledge/brom_drake-py

Attestations:

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page