2025-26 Season - Decode

Decode

The game this season is called Decode, a archaeology-themed game challenging robots to score in many different ways using game elements called artifacts. Typically, the more difficult the task is, the more points it scores. The video to the right explains all of the rules for Decode.

Image of the field

Image of game elements (artifacts)

Overview

Our team has been hard at work so far this season! The images you see here are from various times, ranging from our table at Fannywood Day and various other locations.

2025-26 Competition Team

Coaches & Mentors:

Matthew Ducker Duffy, Marilyn Ritter, Kristine Lockwood, Tom Bradley

Captains:

William Liu, Samantha Hale, Ryan Zuckman

Team Members:

Bronwyn Boris, Kyree Brown-Cook, Cameron Glynn, Matthew Gregov, Charlie Kong, Morgan Moloney, Om Ramanathan, Manav Shah, Joseph Souza, Liam St. John, Alexander Wolf, Josh Zuckman

Mechanical Subteam

Our mechanical subteam usually spends the first month of the season building a new robot for the season, both utilizing parts from the previous year's robot and buying new ones. The subteam spends the rest of the season making changes to the robot, constantly enhancing its design to maximize the number of points scored during a match.

Programming Subteam

On the other side of things, our programming subteam spends the majority of its time coding an autonomous program for the autonomous (non-driver-controlled) period of the matches, going through a perpetual cycle of testing code and making improvements.

Our Robot

Overall Design

The overall design of our robot features a mechanum drive chassis, an extending arm (nicknamed the extendo) with a claw at the end, and a linear slide with a claw and a hook.

Subsystems

Chassis

Extendo

Linear Slide

Claws

Hook

Our Robot In Action

Autonomous (in practice)

As of now, our autonomous program can score up to two samples with clips (called specimens) on the rung and park. This means, at the end of the game, we can score a potential 40 points for just autonomous.