Search Results for "android-x86_32"

...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.

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

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.

- 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

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.

...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