DIY Robot Uses ML to Bring You Stuff! #TensorFlow #SnowBoy #RaspberryPi #Coral #EdgeComputing #TinyML @saraltayal @instructables
This little rover created by @saraltayal can recognize your face and voice commands. This allows it to follow you around and do your bidding! It can fetch water in a ‘COCO cup’ or any object off of this list of words. From the Instructable:
…let me give a quick overview of what this robot is capable of!
You can ask the robot to follow you around. (Done via the TensorFlow face detection computer vision algorithm)
You can ask the robot to find you and then follow you. (Again this will use computer vision + ML)
You can ask the robot to find any object (from this list) for you, pick it up using its robotic sled and bring it to where you are.
You can give the robot a voice command to carry the collected item and follow you around like an assistant robot.
Best part of all this is you can issue all these commands via speech as the robot has voice recognition.
The robot is a simple DIY design composed of 3D printed pieces built on the ‘rover 5’ platform. The main electronics powering the rover include a RaspberryPi, Google Coral USB Accelerator and a RoboClaw. TensorFlow object detection libraries were used for both the facial recognition and object detection algorithms. SnowBoy was used for voice detection. Take a look at @saraltayal’s YouTube video or GitHub for more details.
Adafruit publishes a wide range of writing and video content, including interviews and reporting on the maker market and the wider technology world. Our standards page is intended as a guide to best practices that Adafruit uses, as well as an outline of the ethical standards Adafruit aspires to. While Adafruit is not an independent journalistic institution, Adafruit strives to be a fair, informative, and positive voice within the community – check it out here: adafruit.com/editorialstandards
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.
Have an amazing project to share? The Electronics Show and Tell is every Wednesday at 7pm ET! To join, head over to YouTube and check out the show’s live chat – we’ll post the link there.