Autobots


TEAM MEMBERS: jonathan-tran , krishan-bhalsod , isaiah-gorman
ADVISORS: dr. cengiz gunay , dr. cindy robertson
TECH: mbot mega , mblock , ai , artificial intelligence
DIFFICULTY: intermediate
TARGET AUDIENCE: k-12 , college , middle-school
DURATION: 30 - 60 - 90 minutes
CURATOR(S):
PUBLISHED DATE: Apr 28 2025
CREATED IN SEMESTER: Spring 2025
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Team Members:

Left to Right: Jonathan Tran, Krishan Bhalsod, Isaiah Gorman
Advisors
- Dr. Cengiz Gunay
- Dr. Cindy Robertson
About
Autobots introduces students to the exciting world of artificial intelligence, with a special focus on how machines learn to “see” using image recognition. Using Google’s TeachableMachine, students train their own AI models by creating unique hand gestures that control a robot’s movements. This hands-on challenge not only makes learning fun, but also shows students some of the real-world difficulties AI faces—like telling apart gestures that look very similar.
Behind the scenes, these models often rely on Convolutional Neural Networks (CNNs), a special type of AI architecture that mimics how our brains process visual information. CNNs help the computer pick out patterns, edges, and shapes in images so it can learn the difference between a peace sign and a thumbs-up. By experimenting with gesture control, students get a glimpse into how technologies like Tesla’s self-driving system work—and understand the challenges that come with training machines to interpret the visual world.
Requirements
- Access to Bluetooth and Webcam
- MUST USE GOOGLE CHROME
- Source Code
- Mbot
Outreach Activities
Technology

Project Setup and Installation
Building mBot Mega Instructions