Skip to main content

A lightweight Python Robot simulator

Project description

aitk.robots

PyPI version CI build status

A lightweight Python robot simulator for JupyterLab, Notebooks, and other Python environments.

Goals

  1. A lightweight mobile robotics simulator
  2. Usable in the classroom, research, or exploration
  3. Explore wheeled robots with range, cameras, smell, and light sensors
  4. Operate quickly without a huge amount of resources
  5. Create reproducible experiments
  6. Designed for exposition, experimentation, and analysis
  7. Sensors designed for somewhat realistic problems (such as image recognition)
  8. Especially designed to work easily with Machine Learning and Artificial Intelligence systems

Installation

For the core operations, you will need to install just aitk.robots:

pip install aitk.robots

To use the Jupyter enhancements, you'll also need the browser-based extensions. You can install those with:

jupyter labextension install @jupyter-widgets/jupyterlab-manager

If not in a conda environment, then you will also need to:

jupyter nbextension enable --py widgetsnbextension

For additional information, please see:

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

aitk.robots-0.9.32-py3-none-any.whl (108.2 kB view details)

Uploaded Python 3

File details

Details for the file aitk.robots-0.9.32-py3-none-any.whl.

File metadata

  • Download URL: aitk.robots-0.9.32-py3-none-any.whl
  • Upload date:
  • Size: 108.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.8.5

File hashes

Hashes for aitk.robots-0.9.32-py3-none-any.whl
Algorithm Hash digest
SHA256 d6ca0d1b4491b4b81e5cf8aeb5bc48ea5e07a273f33d9f3ce3080e660c39250f
MD5 30c3c00116e13d92ea0d5c933dc33b9d
BLAKE2b-256 2f2455e19f2e34c81ff1ba9abe45f9923e36542a202a7ecf3a7670fa935a86da

See more details on using hashes here.

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