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DIY Robot Uses ML to Bring You Stuff! #TensorFlow #SnowBoy #RaspberryPi #Coral #EdgeComputing #TinyML @saraltayal @instructables

Image from guide for the ‘Personal Assistant Robot’ from 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.

 


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