Andruino R2 recognize objects in an unstructured enviroment (ROS to Cognitive Service interface)

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Andruino R2 robot uses cognitive services to recognize objects in an unstructured environment.

 

Video:  https://www.youtube.com/watch?v=Ra1HNqW0bA0

 

Andruino R2 is an open educational low-cost (components about 35€/USD) modular and extendable mobile robot based on Android and Arduino, integrated in the cloud, to be used as an educational tool in labs and classrooms of STEM, ICT vocational training or engineering courses, as well as in e-learning or MOOC courses as an alternative or, complementary, to virtual labs and soft robotics simulation. It is a first step introducing what we call “BYOR: Bring Your Own Robot” education policy equivalent to “BYOD: Bring your own devices”. Andruino it is powerful but easy to construct and extremely low cost, as it is based in the student's smartphone. Andruino R2 is compatible with ROS (Robot Operating System) and with iot clouds and try to bring deep learning and other advanced techniques to the STEM's and VET's classrooms.

Author: @andruinos License: CC-BY-SA https://creativecommons.org/licenses/by-sa/2.0/

Andruino R2. A low cost (35 €/40 USD) open ROS robot, using deep learning to visually recognize objects (car and teddy bear)
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