Skip to main content

A lightweight Python Robot simulator

Project description

aitk.robots

PyPI version CI build status

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

Goals

  1. A lightweight mobile robotics simulator
  2. Usable in the classroom, research, or exploration
  3. Explore wheeled robots with range, cameras, 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

A duck robot

Examples

There are pre-designed simulations ready to run, like this:

import aitk.robots
import random

world = aitk.robots.load("two-scribblers")

for robot in world.robots:
    # Give each robot a desired speed:
    robot.forward(1)

def control(world):
    for robot in world.robots:
        if robot.stalled:
	    # If stuck, just reverse:
            robot.reverse()
	# Turn randomly:
        robot.turn(1 - random.random() * 2)

# Watch the robots move in real time, or faster:
world.watch()
world.run(control, show=True, real_time=False)
# Press Control+C or interrupt the kernel to stop

You can also easily assemble your own simulations, robots, and sensors.

import aitk.robots

world = aitk.robots.World(width=100, height=100)
world.watch()

robot = aitk.robots.Scribbler()

world.add_robot(robot)

robot.add_device(aitk.robots.RangeSensor())
robot.add_device(aitk.robots.Camera())

world.save_as("world-1")

Installation

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

pip install aitk.robots

For just image processing on top of of the core, you will need:

  • Pillow - Python Image Library (PIL)

For the full set of options, you will need:

  • Pillow - Python Image Library (PIL)
  • ipywidgets
  • IPython

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 ipycanvas

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

jupyter nbextension enable --py widgetsnbextension

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-0.9.11-py3-none-any.whl (105.8 kB view details)

Uploaded Python 3

File details

Details for the file aitk.robots-0.9.11-py3-none-any.whl.

File metadata

  • Download URL: aitk.robots-0.9.11-py3-none-any.whl
  • Upload date:
  • Size: 105.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.25.0 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.6.9

File hashes

Hashes for aitk.robots-0.9.11-py3-none-any.whl
Algorithm Hash digest
SHA256 f5d34b5501acea26a41fd10a89dc9eab1143dff37c4db2c0db9ea3f867b9d79a
MD5 26cdd38e077275a239f7286cf8291e35
BLAKE2b-256 15bf3062f2715d1159ec67ea4b4062fe9285e5d95d6bed6685824457481754ef

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