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
Read more on

Team Members:

AutoBots Team Photo

Left to Right: Jonathan Tran, Krishan Bhalsod, Isaiah Gorman

Advisors

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

Outreach Activities

  • Tap Expo, 2025, Georgia Gwinnett College
  • Atlanta Science Festival (At Georgia Gwinnett College and Piedmont Park)
  • Class Workshops, 2025, Georgia Gwinnett College
  • Technology

    mBlock Logo

    Project Setup and Installation

    Building mBot Mega Instructions

    Workshop PDF Instructions

    Gallery