Making Smart Machines Smarter: The Building of A Smart Drink Delivery Robot
We wanted a beer without leaving the couch, so we built a robot to bring it to us. Here's how we made it surprisingly simple.
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Building the 'Tipsy' drink delivery robot
The robot is built using a Raspberry Pi, motors, and sensors, all configured and tested through the Viam software platform.
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Programming autonomous obstacle avoidance with Python
A simple Python script uses distance measurements from ultrasonic sensors to prevent the robot from colliding with objects.
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Implementing person detection with machine learning
A pre-trained machine learning model is deployed to the robot to detect people, enabling it to navigate towards them while concurrently avoiding obstacles.
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Exploring future modular capabilities for the robot
Future enhancements could include speech modules, face identification, or API integrations to add new smart features to the robot.
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