Hazal Mestci
Making Smart Machines Smarter: The Building of A Smart Drink Delivery Robot
#1about 1 minute
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.
#2about 1 minute
Programming autonomous obstacle avoidance with Python
A simple Python script uses distance measurements from ultrasonic sensors to prevent the robot from colliding with objects.
#3about 1 minute
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.
#4about 1 minute
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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From learning to earning
Jobs that call for the skills explored in this talk.




Staff Applied Scientist- Embodied AI via Smarter Data
Wayve
Charing Cross, United Kingdom
€53K
Python
PyTorch
Machine Learning




Engineering Manager - Robot Software, System Performance
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€70K
C++
Linux
Automotive
