Website: https://robotech2026.netlify.app

The Robotech Hackathon is the annual robotics hackathon run by the IEEE student chapter at Georgia Tech. Within the allotted 36 hours, teams of four individuals race to design, build, and test a robot to complete a set of engineering goals and competition tasks. Excellent collaboration and an element of strategy will be required to maximize a team score. Teams compete in one of several tracks differentiated by competition focus and experience. Products are judged by a panel of judges on the last day of the hackathon.

It is completely FREE to participate in this hackathon. We accept undergraduates, graduate students, and university students within driving distance of Georgia Tech who are able to arrange their own transportation. The majority of meals will also be provided to competitors for free; please read the FAQ for specifics. Competitors also receive a free t-shirt.

The competition will focus on terrain navigation and interaction, including but not limited to obstacle avoidance, article placement, and potential human-robot collaboration. The tracks, listed below, allow competitors to concentrate in specific areas of the event that interest them. You can only apply to one track.

As the event approaches, we will release a tentative point rubric for each track. Teams will receive points for each element of the robot that they build and for each task that their robot completes. Certain features and tasks will be worth more than others due to expected difficulty.

However, each robot will have exactly 4 minutes to execute their features and tasks, so teams are encouraged to plan ahead of time and understand how to maximize their point totals based on their strengths.

Tracks

  • Autonomous — The robot makes decisions by itself. Think computer vision and audio detection for navigation and interaction.
  • Controller/Communication — team builds an RF or wired controller to control the robot. A human will control the robot's motion and decisions.
  • Beginner — open opportunity for younger or inexperienced students. Great for experimentation and learning, with no particular limits on project functionality

 

IEEE @ GT is also proud to take steps to reduce the environmental impact of our event. All provided plates, utensils, cups and napkins will be environmentally friendly, and we will donate extra food at the end of the event.