Zebracorn Labs

Here at the Zebracorns, we believe in learning and pushing boundaries. In pursuit of that, we have published papers, given talks, and have other tidbits of knowledge lying around. We hope you enjoy these as much as we do.

24 Aug 2023 - Diya Nerurkar, Ava West

ZebraSwitch 2.0

In this paper, we cover our upgraded process for Ethernet switching on our robots. We cover the general rules we try to live by when it comes to the radio and adjacent components, the legal ways to connect and power the radio, and the assembly of the switch and the power regulator.

24 Aug 2023 - Smriti Kalidindi, Ava West, Diya Nerurkar

ZebraPower 2.0

Written as an updated version of our 2018 paper, this paper outlines our process for assembling our batteries and explains the reasoning behind our improvements. We also cover topics such as disassembly, disposal, safety, and reliable connections to robot components.

14 Aug 2023 - Chadwick Hobgood

2023 Intake Design Report

During the 2023 FIRST Robotics Competition Season, we developed an intake mechanism that successfully intaked 2 separate game pieces. We also developed testing procedures to identify intake mechanism failures and their severity. In this paper, we outline the team's approach through the season.

27 Jun 2021 - Linden James, Diya Nerurkar, Marshall Massengill


Upon the occasion of the Global Innovation Competition, we were asked if we would like to share a regional recipe. Many of The Zebracorns enjoy baking so we were thrilled to be asked so that we could share our recipe for (Zebra)Cornbread, a true southern classic and something we hope others will enjoy.

17 Aug 2020 - Yashas Ambati, Gabe Hart, Kevin Jaget

Zebravision 7.0

During the past few years, we have focused on developing robust sensing and inference systems to accelerate our progress towards a fully autonomous robot. The ability to estimate the robot’s absolute position on the field is critical to achieving this goal. During the 2020 season, we made groundbreaking strides in this vein, developing systems to make our robot more environment-aware. In this paper, we introduce two systems: a neural network-based object detector and a particle filter localization system. We believe that neural networks are the future of computer vision in FRC; to help foster innovation in the FRC community, we release our dataset from this season.

06 Aug 2020 - Yashas Ambati, Olivia Fugikawa, Gabe Hart, Adam Kosinski, Trey Wiedmann, Nathan Yang, Viggy Dhanasekaran, Kevin Jaget, Marshall Massengill

ZebROS 2020

Over the past four years, the Zebracorns have created a modular design philosophy and development model based on the Robot Operating System (ROS). Last year, we focused on polishing the core elements and laying the foundation of our robot code base. During the 2020 season, we were able to leverage the advantages of this system as we continue to build upon our previous work. Many of this year’s improvements centered around reliability of the robot itself, as well as driver-robot interaction. Other improvements are new features that bring us closer to the goal of a fully autonomous robot.