Open Source Python Robotics Software - Page 3

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.

Software for simple competition robots. Includes Host (linux) and Microcontroller (AVR) Software. Robust and affordable electronics designs are also included.

NOTE: We have moved the project to https://bitbucket.org/makokal/openprm/overview, all the code that is still in sf is not maintained anymore. please use the new code at the location given

This is the worlds first and probably only FLOSS project aimed to create a lowbudget, based on availble technology, cruise missile. No this is not a Joke, its for real. Why? Since no one has tried to do this before and certainly not under the GPL.

PyMani is a program for robotic manipulator simulation. Designed for testing manipulator dynamics and as an educational tool for teaching the robotic parameters. This project currently uses Python, VPython, SymPy, PyODE, and wxPython.

PyMbs has moved to Bitbucket: https://bitbucket.org/pymbs/pymbs PyMbs is a Python library for modelling holonomic multibody systems. It is able to generate simulation code for Python, Modelica and Matlab.

2D robotic simulator in Python 2.x, tested in 2.6 and 2.7, under Win7(64) and Ubuntu 10.04 (Lucid). Needs the matching version of Pygame installed! (www.pygame.org) Download the .py file and two .bmp files: -->back2_800_600 for background -->any of the robo1.bmp through robo4.bmp for robot image (different colors). The map of the "room" can be changed by modifying the list of obstacles. Read more in ReadMe.txt and in the .py file comments.

PyRobot is a high-level robotics API that simplifies controlling real and simulated robots through a consistent Python interface. Instead of fighting ROS internals, you call clear methods for things like base navigation, arm manipulation, and camera capture, and PyRobot handles the plumbing. It was built to make research repeatable on accessible platforms—most notably low-cost mobile manipulators—while still scaling to richer hardware. The library exposes canonical abstractions (base, arm, gripper, camera, sensors) with calibration and kinematics helpers so beginners can get meaningful results quickly. It also plugs into simulation backends, letting you prototype perception and control algorithms before deploying on physical robots. By standardizing common operations and providing examples, PyRobot reduces boilerplate and encourages best practices in perception-control loops, data collection, and benchmarking.

Developed on Python to leverage state-of-the-art extensibility and easily integrated plugins Able to use low cost robots with the accuracy and dexterity of much more expensive robots, achieved in part by: a) Ability to drive movement by inexpensive DC gear head motors, including the inherent ability to specify movement by applied force rather than strict space/time control that steppers impose. b) Arms and linkages don't have to have super tight tolerances, because accuracy is achieved by tightly integrated visual feedback that's easy to program and low complexity processing. Ability to program easily with a GUI and visual interface that sees things from the robots' camera perspective. Flexible use of coordinate spaces that make programming arms with 6 or more degrees of freedom super easy. Got a bot arm with 13 linkages that can reach around corners? Easy. Simple arm with only 2 degrees of freedom, with one polar and one cartesian? Any arm geometry works.

PyVision is a object-oriented Computer Vision Toolkit for researchers that contains vision and machine learning algorithms and algorithm analysis and easily interfaces with scipy/numpy, PIL, opencv and other computer and machine learning libraries.

Allows one to program fablab (factory and/or laboratory) in the same way as we program computer. Imagine commands like: "dim screw12 as new screw" or "mold(form_piston_081212, brass)" or ''gear(3)=lasercut(steel2,"biggear.gc")". This approach will let us program highly automated and self-deploying or even self-replicating factories. I am more engineer than programmer and just beginner in python. So it looks like community help will be needed :)

An application to control remotely a Quadcopter throught a Raspberry Pi. The goal is to be able to command and view what is in front of the quadcopter with a camera. This is allready working using a python Webserver and streaming video from Raspberry Camera. You can play also without camera support from command line with remote access.

The RESPOND-R framework is a modular, distributed data logging framework built for the purpose of studying Emergency Informatics as it relates to human robot performance during disaster responses. Tutorials can be found on the wiki: https://sourceforge.net/p/respondr/wiki/

RTS2 is project to create an open source environment for control of a fully autonomous observatory. It is running about dozen fully autonomous observatories. Its modular design allow easily addition of new devices (to already huge supported HW list).

Random any number you want and how many as you want for free . Design for winning the lottery

Це віртуальна машина QEMU із зібраною операційною системою Raspbian для емуляції Raspberry Pi на Windows 7, 8, 10. Використовується для занять з робототехніки в Київському національному університеті будівництва і архітектури. pi/raspberry

Remote Robot monitor is a wxPython-based interface for controlling and monitoring mobile robots designed to take part to the Eurobot 2009 contest. Provides and interface to exchange data with the DIIT TEAM (http://eurobot.diit.unict.it) Erlang-developed

The Rice Personal Robotics Package is a collection of libraries that aims to offer methods for personal robotic assistants to operate successfully in indoor environments. These libraries are mostly focused on motion planning tasks.

RoboComp is a robotics framework providing a set of open-source, distributed, real-time robotic and artificial vision software components and the necessary tools to create and manage them.

This is the RoboCup Mixed Reality Project: a standard research and educational platform integrating cutting edge and low cost watch technology into a miniature multi-robot system which mixes reality and simulation.

RoboDojo is an open-source robotics benchmark designed to evaluate general-purpose robot manipulation policies in simulated and physical environments. It provides 42 simulation tasks and 18 real-world tasks across three robotic platforms. The benchmark measures generalization, memory, precision, long-horizon planning, and open-ended manipulation capabilities. Its Isaac Sim environments support rigid, articulated, and deformable objects across diverse scenarios. Parallel simulation enables researchers to evaluate multiple tasks and environments efficiently. RoboDojo integrates with XPolicyLab to test different robotic policies through a unified interface. Reproducible configurations, controlled random seeds, and standardized scoring support consistent comparisons. This repository also includes an experimental Isaac Sim 6.1 migration whose complete benchmark compatibility remains unverified.

Simulator for large neuronal networks using leaky INF as its basic element. Simple few line scripts will enable rapid creation of large networks with different connectivities. Aimed at researchers interested in quickly testing large networks of neurons.

Soto is a graphical message debugger for simpleIPC. In addition to displaying the message traffic between processes, it can log and play back this traffic. Soto also provides the ability to design GUI "panes" that are populated with data from messages.