23513

I.N.T. Robotics

New York, NY, USA

Rookie Year

2023

Members

22

Mentors

4

Type

Community Team

Meeting Hours/Week

20

Approx. Budget

1000 - 3000 USD

Workspace

Shared Space (maker space, etc.)

Sponsorship Status

1 - 3 Sponsors

Drivetrain

Swerve (Differential)

Materials

Prefabricated Metal Parts, Custom Metal Parts, Polycarbonate, 3D-Printed Plastic, Other

Product Sources

GoBILDA, SparkFun Electronics, Axon, Adafruit Industries, Swyft Robotics, REV Robotics, Other

Odometry

SparkFun Laser Odometry (OTOS), GoBILDA Pinpoint

Sensors

Color, Limelight 3A, External IMU/Gyro, Other

Systems

Climber, Wheel Roller Intake, Other

Programming Language

Java (OnBot or External IDE)

Development Environment

Android Studio

3rd-Party Tools

Pedro Pathing

Vision

AprilTag Localization, OpenCV

2025

Rookie All Star

What is something that you think is unique about your robot this season? What about your robot do you think would make it stand out at competition?

Our robot will have a mechanism to manipulate the order of the balls we outtake to ensure we always match our outtaking to the given pattern. Our software and hardware will work together so we can indiscriminately intake pieces and automatically organize the components within the robot, making driving as efficient and easy as possible.

What types of Outreach do you plan to do for this season? Which of those Outreach initiatives are you most proud of?

As a team, some of our biggest priorities are fostering curiosity and skills in students. Due to our dedication to education, we decided to make a non-profit called INT. This non-profit has been a long time in the making and we are working towards hosting and providing educational opportunities for many people including workshops, lessons, and lectures. We want individuals to find joy in delving into their interests and empower them to build the world they want to see by teaching them skills which align with their passions.

Describe an element of your code which you think will be most advantageous to your performance over the season.

Our swerve drive will help us increase our accuracy when moving on the field, particularly when positioning ourselves to shoot the game pieces into the goal.

How will you be organizing your team at competitions?

Students explore areas based on interest, allowing each member to be particularly invested in their work. As we CAD our robot before assembling, our members work at Cornell Tech - where we are based - some days and from home other days. We consistently prototype as we CAD the robot to ensure our CAD represents the optimal version of our robot, avoiding small issues as we design. CADing the robot, and ensuring our CAD is as good as possible through prototyping, allows us to lower the chances of major issues once we begin fully machining and assembling our robot. So, we end up using our resources to build effective robots.

Describe a unique or noteworthy strategic device or element that you think would be useful for this game.

We are thrilled to be using swerve drive this year since it will allow us to have an incredible level of control over our robot’s movement. Such control will help us diversify our shot selection, which is critical this year. Color sensors will also be helpful in ordering the game pieces in the given pattern.

How would you describe your design process? How many options/strategies do you compare? How do you visualize your designs before building?

We leveraged the Robot In 30 Hours event we hosted alongside Mechatronics 13368 at Cornell Tech to develop prototypes and ideas rapidly. Now we have begun CADing our robot, often doing so on discord calls to help all students learn designing and CAD skills. We aim to have our first iteration built within the next few weeks so we can begin using PIDs to tune our robot.