Open Source Windows Robotics Software
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Robotics Software for Windows
View 1239 business solutionsBrowse free open source Robotics software and projects for Windows below. Use the toggles on the left to filter open source Robotics software by OS, license, language, programming language, and project status.
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OpenCV
Open Source Computer Vision Library
The Open Source Computer Vision Library has >2500 algorithms, extensive documentation and sample code for real-time computer vision. It works on Windows, Linux, Mac OS X, Android, iOS in your browser through JavaScript. Languages: C++, Python, Julia, Javascript Homepage: https://opencv.org Q&A forum: https://forum.opencv.org/ Documentation: https://docs.opencv.org Source code: https://github.com/opencv Please pay special attention to our tutorials! https://docs.opencv.org/master Books about the OpenCV are described here: https://opencv.org/books.html -
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GCBASIC is an open-source BASIC compiler for 8 bit Microchip PIC, Atmel AVR legacy, AVRDx and LGT microcontrollers. See https://ko-fi.com/post/The-Story-of-GCBASIC-Making-Microcontroller-Progr-D1D319SJ72 for story of GCBASIC. This is a continuous release project. The latest release is always available. This will give you the most complete development toolchain to create and program 8-bit PIC, AVR and LGT microcontrollers. We have added new capabilities that make GCBASIC the easiest tool set available - supporting over 1400 microcontrollers with tools to make this fun and simple. Please see the download section for your options. We have two IDEs, we have just the compiler and we have a minimal install - it is your choice. Please see the homepage here: https://gcbasic.com
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CNCjs
A web-based interface for CNC milling controller running Grbl, Marlin,
A web-based interface for CNC milling controller running Grbl, Smoothieware, or TinyG. It runs on a Raspberry Pi or a laptop computer that you have Node.js installed, connecting to the Arduino over a serial connection using a USB serial port, a Bluetooth serial module, or a Serial-to-WiFi module like XBee or USR-WIFI232-T. -
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Robocode
Robocode is a programming tank game for Java
Robocode is a programming game, where the goal is to develop a robot battle tank to battle against other tanks with Java. The robot battles are running in real-time and on-screen. The motto of Robocode is: Build the best, destroy the rest! -
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dxf2gcode
DXF2GCODE: converting 2D dxf drawings to CNC machine compatible G-Code
DXF2GCODE is a tool for converting 2D (dxf, pdf, ps) drawings to CNC machine compatible GCode. Windows, Linux, and Mac support by using python scripting language. -
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Tiny Multi Bootloader+
Serial Bootloader for Microchip, Atmel, NXP, TI, 8051 microcontrolers
What is it? It's a Bootloader for Microchip, Atmel, NXP, TI and 8051 devices. A Bootloader is a firmware running in the microcontroler device which allows the user to send it's own firmware without the need of a programmer. This Bootloader consists of: - firmwares for many devices (this firmware need to be send to the device's flash memory with a programmer, only once) - a PC software which communicates with the bootloader firmware in the device and send the user's program in its memory Where does it come from? This Bootloader is based on "Tiny PIC Bootloader" made by Claudiu Chiculita. A special THANK to him!!! What can it do? It can program: - Microchip PIC10/12/16/18/24/32/dsPIC30/33 - Atmel ATtiny, ATmega - TI MPS430 - NXP ARM Cortex-M0+ - Silicon Labs C8051 And this: - with light modifications to the Bootloader firmware for new devices - without modifying your source code or using a special linker script - via GUI or command line prog - with automatic Reset -
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Robotics Toolbox for MATLAB
Robotics Toolbox for MATLAB
This toolbox brings robotics-specific functionality to MATLAB, exploiting the native capabilities of MATLAB (linear algebra, portability, graphics). The Toolbox uses a very general method of representing the kinematics and dynamics of serial-link manipulators as MATLAB® objects – robot objects can be created by the user for any serial-link manipulator and a number of examples are provided for well-known robots from Kinova, Universal Robotics, Rethink as well as classical robots such as the Puma 560 and the Stanford arm. The toolbox also supports mobile robots with functions for robot motion models (unicycle, bicycle), path planning algorithms (bug, distance transform, D*, PRM), kinodynamic planning (lattice, RRT), localization (EKF, particle filter), map building (EKF) and simultaneous localization and mapping (EKF), and a Simulink model a of non-holonomic vehicle. The Toolbox also includes a detailed Simulink model for a quadrotor flying robot. -
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Arduino core support for STM32
STM32 core support for Arduino
This repo adds the support of STM32 MCU in Arduino IDE. This porting is based on STM32Cube MCU Packages including the HAL hardware abstraction layer, enabling portability between different STM32 devices via standardized API calls. The Low-Layer (LL) APIs, a lightweight, optimized, expert-oriented set of APIs designed for both performance and runtime efficiency. CMSIS device definition for STM32. Arduino.cc IDE allows to add easily new board thanks the "Boards Managers". More information about "Boards Managers" is available on Arduino.cc official website. -
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Mobile Robot Programming Toolkit (MRPT)
**MOVED TO GITHUB** ==> https://github.com/MRPT/mrpt
**MOVED TO GITHUB** ==> https://github.com/MRPT/mrpt The Mobile Robot Programming Toolkit (MRPT) is an extensive, cross-platform, and open source C++ library aimed for robotics researchers to design and implement algorithms about Localization, SLAM, Navigation, computer vision. http://www.mrpt.org/ -
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Dummy-Robot
My super mini robotic arm robot project
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. -
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DynamixelSDK
ROBOTIS Dynamixel SDK (Protocol1.0/2.0)
DYNAMIXEL SDK is a software development kit that provides DYNAMIXEL control functions using packet communication. The API of DYNAMIXEL SDK is designed for DYNAMIXEL actuators and DYNAMIXEL-based platforms. You need to be familiar with C/C++ programming language for right use of the software. This e-Manual provides comprehensive information on ROBOTIS products and applications. -
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TinyGSM
A small Arduino library for GSM modules, that just works
A small Arduino library for GSM modules that just works. This library is easy to integrate with lots of sketches that use Ethernet or WiFi. PubSubClient (MQTT), Blynk, HTTP Client, and File Download examples are provided. Arduino GSM library uses 15868 bytes (49%) of Flash and 1113 bytes (54%) of RAM in a similar scenario. TinyGSM also pulls data gently from the modem (whenever possible), so it can operate on very little RAM. Now, you have more space for your experiments. TCP (HTTP, MQTT, Blynk, ...) All modules support TCP connections. Most modules support multiple simultaneous connections. TCP and SSL connections can usually be mixed up to the total number of possible connections. Many GSM modems, WiFi, and radio modules can be controlled by sending AT commands over Serial. TinyGSM knows which commands to send, and how to handle AT responses, and wraps that into the standard Arduino Client interface. -
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ESP32 BLE Keyboard library
Bluetooth LE Keyboard library for the ESP32
This library allows you to make the ESP32 act as a Bluetooth Keyboard and control what it does. Compatible with Android. Compatible with Windows. Compatible with Linux. Compatible with MacOS X (not stable, some people have issues, doesn't work with old devices). Compatible with iOS (not stable, some people have issues, doesn't work with old devices). There is also Bluetooth-specific information that you can set (optional): Instead of BleKeyboard bleKeyboard; you can do BleKeyboard bleKeyboard("Bluetooth Device Name", "Bluetooth Device Manufacturer", 100);. (Max length is 15 characters, anything beyond that will be truncated.) By default the battery level will be set to 100%, the device name will be ESP32 Bluetooth Keyboard and the manufacturer will be Espressif. This feature is meant to compensate for some applications and devices that can't handle fast input and will skip letters if too many keys are sent in a small time frame. -
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NVIDIA Isaac Sim
NVIDIA Isaac Sim is an open-source application on NVIDIA Omniverse
NVIDIA Isaac Sim is a high-fidelity robotics simulation platform built on NVIDIA Omniverse to develop, test, and validate AI-driven robots in physically accurate virtual environments. It supports a wide array of robotics formats (URDF, MJCF, CAD), includes GPU-accelerated physics, and features immersive RTX rendering and multisensory simulation. Realistic physics via GPU-accelerated engines and RTX ray tracing. Multi-sensor simulation (RGB-D cameras, Lidar, Radar, IMU, contact sensors). Extensible via platform APIs and can integrate into custom USD-based simulators. -
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The ACTIVE-IST project is a set of libraries (e.g. JAUS SDK) for rapid development of cross-platform applications with Unmanned Systems using the JAUS Standard (AS5710, AS6009), Simulations, Human-Interface Devices, and more.
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ATTinyCore Universal
Arduino core for ATtiny 1634, 828, x313, x4, x41, x5, x61, x7 and x8
Arduino support for almost every classic tinyAVR device! Supports ATtiny 1634, 2313/4313, 24/44/84, 441/841, 25/45/85, 261/461/861, 87/167, 48/88, 43 and 828. Supports programming vis ISP, Serial (Optiboot - all parts with >4k flash, and all parts with 4k flash for which an 8k version is available) or VUSB (Micronucleus - where appropriate) There are 272 different versions of micronucleus built (and part of the 2.0.0-dev branch now), and optiboot will dwarf that number! 0 of those have been tested. Obviously, we are leaning very heavily on automation of configuration generation for this release. Half of the tinyNeoPixel speeds have had the assembly routines modified in major ways (there's no more stupid menu for the port), but they are untested. Virtual boot relies on rewriting the vector table, such that the RESET vector points to the bootloader. -
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TFT_eSPI
Arduino and PlatformIO IDE compatible TFT library
An Arduino IDE compatible graphics and fonts library for 32-bit processors. The library is targeted at 32-bit processors, it has been performance-optimized for STM32, ESP8266 and ESP32 types. The library can be loaded using the Arduino IDE's Library Manager. Direct Memory Access (DMA) can be used with the ESP32, RP2040, and STM32 processors to improve rendering performance. "Four wire" SPI and 8 bit parallel interfaces are supported. Due to the lack of GPIO pins, the 8-bit parallel interface is NOT supported on the ESP8266. 8 bit parallel interface TFTs (e.g. UNO format mcufriend shields) can use with the STM32 Nucleo 64/144 range or the UNO format ESP32. ILI9341 and ST7796 SPI-based displays are recommended as starting points for experimenting with this library. The library supports some TFT displays designed for the Raspberry Pi (RPi) that are based on a ILI9486 or ST7796 driver chip with a 480 x 320-pixel screen. -
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Arduino libraries
Arduino libraries and code
This repository contains several Arduino libraries I have written to be used in applications. Most of them include example code on how the libraries can be used. Furthermore, this repository contains a few stand-alone applications. For bugs in the libraries, please fill in an issue in Github as that makes it far easier to track them. If possible provide a minimal code snippet that exposes the bug. Add information about the platform used and version etc. Also, proposals for solutions are welcome. For improvements and changes, please provide a pull request. I will try to follow up on them asap but it can take quite some time. Please try to be generic in your improvements and try to see "over the needs of your own application". -
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ESP8266Audio
Arduino library to play MOD, WAV, FLAC, MIDI, RTTTL, MP3
Arduino library for parsing and decoding MOD, WAV, MP3, FLAC, MIDI, AAC, and RTTL files and playing them on an I2S DAC or even using a software-simulated delta-sigma DAC with dynamic 32x-128x oversampling. ESP8266 is fully supported and most mature, but ESP32 is also mostly there with built-in DAC as well as external ones. For real-time, autonomous speech synthesis, check out ESP8266SAM, a library that uses this one and a port of an ancient format-based synthesis program to allow your ESP8266 to talk with low memory and no network required. All this code is released under the GPL, and all of it is to be used at your own risk. If you find any bugs, please let me know via the GitHub issue tracker or drop me an email. The MOD and MP3 routines were taken from StellaPlayer and libMAD respectively. The software I2S delta-sigma 32x oversampling DAC was my own creation and sounds quite good if I do say so myself. -
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Open X-Embodiment
Unified open dataset enabling cross-embodiment learning for robotics
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. -
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8 Sounds USB
Summary
XMOS based, USB2 audio card, low power consumption, small form factor, 8 synchronous input channels and 4 stereo output channels. -
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Robotics Lab
Open Source from the Robotics Lab research group @ UC3M
Welcome to the open branch of the Robotics Lab research group @ Universidad Carlos III de Madrid (UC3M). We currently host 3 main projects here: * ASIBOT open source software, which includes basic simulation, control and vision: http://roboticslab.sourceforge.net/asibot * Datasets we use for machine learning: https://sourceforge.net/projects/roboticslab/files/Datasets * Nicolas Burrus' RGBDemo stuff. -
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Arduino HomeKit ESP8266
Native Apple HomeKit accessory implementation for the ESP8266 Arduino
This Arduino library is a native Apple HomeKit accessory implementation for the ESP8266 Arduino core and works without any additional bridges. This project is mainly based on an esp-home kit for ESP-OPEN-RTOS. I ported the RTOS-based implementation of the esp-home kit to the pure Arduino environment, aimed at easy and fast building projects using Arduino IDE (or Eclipse with sloeber, PlatformIO). Enjoy the "one-key" build, "one-key" upload, and work to link various other Arduino libraries with Apple HomeKit! This library is built with ESP8266 Arduino Core 2.6.3. Lower versions may compile with errors. For ESP32, see Arduino-HomeKit-ESP32. The HomeKit running on ESP32 has a GREAT PERFORMANCE which is 10x faster than ESP8266. You should set the ESP8266 CPU to run at 160MHz (at least during the pairing process), to avoid the tcp-socket disconnection from the iOS device caused by a timeout. -
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Arduino MIDI Library
MIDI for Arduino
This library adds MIDI I/O communications to an Arduino board. MIDI over USB, Bluetooth, IP & AppleMIDI (see Transports). Active Sensing support. Compatible with all Arduino boards (and clones with an AVR processor). Simple and fast way to send and receive every kind of MIDI message (including all System messages, SysEx, Clock, etc..). OMNI input reading (read all channels). Software Thru, with message filtering. Callbacks to handle input messages more easily. Last received message is saved until a new one arrives. Overridable template-based settings. Create more than one MIDI interface for mergers/splitters applications. Use any serial port, hardware or software. All USB-related code has been moved into a separate repository Arduino-USB-MIDI, USB MIDI Device support with MIDI USB, still using this library to do all the MIDI heavy-lifting. -
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ElectronBot
ElectronBot is a mini desktop robot
ElectronBot is a desktop-scale robot platform designed for enthusiasts and makers, combining robotics, embedded systems, display, and gesture sensing into a compact mechanical “tool bot”. The project features six degrees of freedom (rotational axes) for arms, neck, and body, allowing expressive motion beyond simple head-tilt or arm-wave. It includes USB communication and a built-in display, enabling it to respond to host computer inputs and act as an interactive peripheral rather than just a static automaton. The creator provides full source materials—mechanical (3D printed or CNC parts), electronics (PCBs, custom boards), firmware and drivers—so someone can build or modify the robot themselves. The platform also integrates computer vision or gesture sensing (for example, keypoint detection of human pose) so the bot can respond dynamically to a person’s presence or movement.
