Skip to main content

Python Toolbox for Robotics

Project description

Python Toolbox for Robotics

Usage

Installation

pip install pybotics

Quick Start

import numpy as np
import pybotics as pybot

# classic planar robot from textbooks
robot_model = np.array([
    [0, 0, 0, 0],
    [0, 10, 0, 0],
    [0, 20, 0, 0]
], dtype=np.float)
planar_robot = pybot.Robot(robot_model)
planar_robot.joint_angles = np.deg2rad([30, 60, 0])
pose = planar_robot.fk() # forward kinematics, returns 4x4 pose transform

# modern, collaborative, 6-axis robot (UR10 from Universal Robots)
robot_model = np.loadtxt('ur10-mdh.csv', delimiter=',')
ur10_robot = pybot.Robot(robot_model)
ur10_robot.random_joints()
pose = ur10_robot.fk() # forward kinematics, returns 4x4 pose transform

Applications

  • Kinematics

  • Calibration

  • Trajectory and path planning

Development

  • All branches are deployed to PyPI’s Test Site

  • Only tags on the master branch are deployed to PyPI

References

  • Craig, John J. Introduction to robotics: mechanics and control. Vol. 3. Upper Saddle River: Pearson Prentice Hall, 2005.

  • Corke, Peter. Robotics, vision and control: fundamental algorithms in MATLAB. Vol. 73. Springer, 2011.

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

pybotics-0.3.2.tar.gz (8.5 kB view hashes)

Uploaded Source

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