Open Source Android Robotics Apps

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

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.

OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation. Current robots are either expensive or make significant compromises on sensory richness, computational power, and communication capabilities. We propose to leverage smartphones to equip robots with extensive sensor suites, powerful computational abilities, state-of-the-art communication channels, and access to a thriving software ecosystem. We design a small electric vehicle that costs $50 and serves as a robot body for standard Android smartphones. We develop a software stack that allows smartphones to use this body for mobile operation and demonstrate that the system is sufficiently powerful to support advanced robotics workloads such as person following and real-time autonomous navigation.

This project aims to create a flexible, cross-platform ROV (remotely operated vehicle) control system based on Qt and the Arduino microcontroller series with multi-platform support. You can view the development blog at http://chrisstechblog.blogspot.com. If you have any questions, comments, ideas or complaints please let us know! We'd love to hear from you how we can improve ROV-Suite! Thanks! P.S. If you want to give us a negative review, please elaborate on why you are giving us a negative review so that we can fix any issues or bugs that you may have found!

RobBX - is a first in the world DIY Arduino constructor based from IQBX. Difference from prototype, RobBX has complete conception witch includes: a complete STL 3D-models with OpenSCAD sources; a special schemes and electronics connections; and powerfull Arduino firmware for ESP32 based on WiFi AP Server, connection to it from mobile device give a controller, programmable from IDE (on Blockly). Robb - is a low cost constructor, but it powerful for STEAM education.

The project builds a new AI of AIBO from scratch. Currently, I have a white ERS-7 model, Rakka. Project is based on Boost, Qt, OpenCV, other 3rd party software and my own source codes.

- Java SE 1.7 compatible - Can be run on both Windows/Linux PC - Can be run on Android devices(Tested on ASUS fonetab7, ASUS zenfone4, Samsung Galaxy S4) - Can be run on reflashed ARM-based AndroidTV sticks (Tested on MK808) - No custom firmware for EV3 brick - Supports about 15 EV3/NXT/HT sensors - Supports EV3 & NXT motors - Supports Android camera

Welcome to Multimodal Unmanned Aerial Vehicle Controller (MMAR) This project intends to develop a multimodal interface which gives a human operator capability of controlling a QuadRotor UAV efficiently and more easily. During this project we use a simulated QuadRotor called AirRobot in a simulation environment for development of robots, USARSim. There are some aspects involved in this project including touch, pose tracking, gesture recognition, voice recognition, etc and we try to utilize capabilities of some devices available today such as Android Phones and Microsoft Kinect. Using a windows appliacation called MMUAVC Fusion App, this system gathers all data from sensors and issues control commands for the QuadRotor

This Project is to make a robotic platform and Soft Brain for a self learning research robot. For making it modular we are using OSGI with rosjava javacv.

Multi-platform tools and information for programming and controlling LEGO MINDSTORMS programmable bricks, such as the NXT, via USB and Bluetooth.