Open Source Python Robotics Software - Page 2

ARS is a physically-accurate robotics simulator written in Python. It's main purpose is to help researchers with to develop mobile manipulators and, in general, any multi-body system. It is open-source, modular, easy to learn and use, and can be a valuable tool in the process of robot design, in the development of control and reasoning algorithms, as well as in teaching and educational activities.

Br-Gogo is a Brazilian open-source version of the Gogo Board project. Developed by CTI, a Brazilian research center. **<div class="sf-root" data-id="250926" data-badge="oss-users-love-us-white" style="width:125px"> <a href="https://sourceforge.net/projects/br-gogo/" target="_blank">Br-Gogo</a> </div>**

Bender is a project intented to cover a complete UAVs system. The projects consists in three parts: the UAV Embedded software (Bender), the Control station software (Fry) and the communication protocol between UAVs and Control Station

An Open Source IEC 61131-3 Integrated Development Environment, providing PLCOpen SoftPLC programming, CanOpen IO's, and SVG based HMI.

Open, free and extensible plataform for developing robotics projects

The CMU personal robotics package offers many robotics algorithms/controllers/drivers that enable robots to perform basic tasks like manipulation and vision. The main infrastructure used is OpenRAVE and Robot Operating System (ROS).

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.

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.

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/

MBDyn_sim_suite is a collection of free pre&post-processing tools and simulation models for the open-source multi-body analysis software MBDyn forming a general purpose simulation environment for structural dynamics with an emphasis on wind turbines.

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/

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.

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.