Open Source Python Robotics Software - Page 2

The Constrained Manipulation Planning Suite (CoMPS) consists of three openrave plugins and associated data files. The planning and inverse kinematics algorithms in this suite are designed for articulated robots like robotic arms and humanoids. CoMPS is implemented in C++ and compiles in linux only. There are also several examples in python and matlab that show how to interface with openrave to use the plugins in CoMPS. It has been tested on all Ubuntu version from the last few years and will probably work with most modern linux distributions. Please see the wiki for installation and examples: https://sourceforge.net/p/comps/wiki/Home/

A complete set of code to build your own robot for cospace dance using: raspberry pi, arduino, xbee and blender,

The Dragon Fire compiler takes a new, 21st century, look at the Dragon (i.e. Dragon Book). No longer impenetrable to the programmer, this compiler is open and available to them. You control the Dragon, and get Dragon insight into your programs.

Dummy-Robot is an open source robotics project by Peng Zhihui that showcases the design and implementation of a compact robotic arm . The repository contains full hardware design files, firmware, control software, and 3D models. It includes components such as a gripper, LED light ring PCB, wireless spatial positioning controller, and a portable case. The project demonstrates advanced engineering with stepper motor drivers, custom controllers, and debugging tools. While the original version is CNC-machined, a simplified 3D-printable "youth edition" is planned to lower costs. This project serves as both an educational resource and a demonstration of innovative DIY robotics.

This project contains tools, that were created during the work with the Katana robotic manipulator at the workgroup EOS of the University of Magdeburg.

The EP avr-gcc library is a funktion library in C for the Atmel AVR Microcontroller. It has functions for LCD, USART and more.

A cross-platform library that computes fast and accurate SIFT image features. libsiftfast provides Octave/Matlab scripts, a command line interface, and a python interface (siftfastpy). Optimized with SIMD instructions and OpenMP .

HomeRobot is an open source robotics framework developed by Facebook Research (Meta AI) that provides a complete software stack for mobile manipulation in real-world and simulated environments. Designed for low-cost robots such as the Hello Robot Stretch, HomeRobot enables agents to perceive, navigate, and interact with their surroundings through vision and manipulation. The system focuses on Open Vocabulary Mobile Manipulation (OVMM) — a challenging task in which a robot must explore an unknown environment, identify an object by name, locate a suitable receptacle, and place the object appropriately. HomeRobot integrates perception, planning, and control under a unified architecture, supporting AI Habitat for simulation and ROS Noetic for real-world deployment. It provides interfaces for Detic, Grounded-SAM, and Contact-GraspNet, allowing open-vocabulary detection and 3D grasping.

Written in C++, IFI-picloader is a US First Competition Linux port for Innovation First Inc. Robot Controller programmer using a pic 18F8520. It writes MCC18 compiled hex files to PIC and allows users to program under *nix based operating systems.

This project aims to control the KSR10 Robot Arm (Velleman) through USB with the programming language Python. Requirements: - Python (tested with version 2.6 and 2.7) - modules: pyusb (wich on itself requires libusb or openusb)

LightningROS is a ROS package implementing the Lightning Path Planning Framework. The code here was developed for ROS Feurte. For later ROS versions, see https://github.com/WPI-ARC/lightning_ros This approach uses a path library to store previous experience while allowing generality by also planning from scratch. Please see the paper below for more details: A Robot Path Planning Framework that Learns from Experience Dmitry Berenson, Pieter Abbeel, and Ken Goldberg IEEE International Conference on Robotics and Automation (ICRA), May, 2012. This package uses OMPL planners (http://ompl.kavrakilab.org/) to implement each component in lightning and can be called the same way as any other OMPL planner. The code was developed at UC Berkeley by Cameron Lee and Dmitry Berenson under the supervision of Prof. Pieter Abbeel and Prof. Ken Goldberg. Please see the Wiki for instructions on how to install and use lightning: https://sourceforge.net/p/lightningros/wiki/Home/

LinuxCNC controls CNC machines. It can drive milling machines, lathes, 3d printers, laser cutters, plasma cutters, robot arms, hexapods, and more.

The Massive G Engine is a simple yet feature-rich extensible 3D simulation engine for Robotics Research and gaming.

This project is the software development section for the McGill underwater robotics team. We compete here: http://www.auvsi.org/about/

Isaac Lab is an open-source modular robotics learning framework built atop Isaac Sim. It simplifies research workflows across reinforcement learning, imitation learning, and motion planning by offering robust, GPU-accelerated simulation with realistic sensor and physics fidelity—ideal for sim-to-real robot training. Compatible and optimized for use with Isaac Sim versions (e.g., Sim 5.0 and 4.5). GPU-accelerated, high-fidelity physics and sensor simulation suitable for complex learning tasks. Offers a variety of robotic environment simulations on both Linux and Windows.

A platform independent framework to remote control Lego Mindstorms NXT from Python. Using PyBluez http://org.csail.mit.edu/pybluez/ for Bluetooth connectivity and wxPython http://www.wxpython.org/ for UI.

Simulator of virtual animals made up of biological neural networks for research in the Computational Neuroscience field.

Open X-Embodiment is a large-scale collaborative initiative led by Google DeepMind to unify robotic learning datasets into a consistent and standardized format, simplifying access and usage across the robotics research community. Its primary goal is to make all available open-source robotic data interoperable by representing them using the RLDS (Reinforcement Learning Dataset Structure) episode format. This enables seamless integration for training, evaluation, and model development across diverse robotic tasks and embodiments. The dataset aggregates contributions from multiple open-source robotic projects, all harmonized under a single unified data schema. The repository also provides Colab notebooks for dataset visualization, batching, and model inference, along with pretrained model checkpoints such as RT-1-X, a multitask robotic transformer model trained on this data.

NOTE: We have moved to bitbucket, the code here is not maintained anymore https://bitbucket.org/makokal/openprm/overview

Autononous mobile robot programming environment for Robotino.

The Poll and Command Service (PCS) project aim is to develop a management and interfacing system for the Khepera III and Koala robots.

Concurrent vision processing system; Toolkit for easy implementation of software concurrent vision processing sub-system. Aimed at robotic applications w/best effort realtime. System includes: capture,processing and displaying.

Analyse Piano records from a midi keyboard, analyse them, generate a cocktail and serve it through a midi-controlled hydro mechanical system. Provide also a web interface to manage and setup.