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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