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FTC Team 30450 Β· Emerald High School

Sharp Face Robotics

Building competitive robots and inspiring the next generation of engineers through STEM education across the Bay Area.

πŸ†
2nd Place Inspire League Award
⭐
Finalist Award Alliance Finalist
Sharp Face Robotics Team
Who We Are
Our Team
Sharp Face Robotics is a FIRST Tech Challenge team from Emerald High School in Dublin, California. We empower students to grow as engineers, leaders, and community builders β€” designing competitive robots while running STEM outreach programs that reach thousands across the Bay Area.
24
Team Members
2
Coaches
9,395
People Reached
2,026
Volunteer Hours
Design
Engineering Excellence

Custom mecanum drivetrain, dual-compliant intake, and an iterated flywheel shooter β€” built for reliability all season long.

Software
Smart Autonomy

Pedro Pathing, AprilTag vision, and voltage compensation β€” clean code that makes the robot feel effortless to drive.

Outreach
Community Presence

We have an active presence across the Bay Area. Contact us for curriculum development partnerships or any other inquiries β€” we'd love to connect.

Innovation
Sharp AI

As a rookie team, we struggled to find AI tools tailored to FTC programming β€” so we built our own. Sharp is a large language model designed specifically to generate FTC-ready code, helping our team iterate faster and sharing that advantage with the wider robotics community.

Launch Sharp AI
Sharp
FTC Code LLM
Get in Touch

Interested in sponsoring, collaborating, or learning more about our team? We'd love to hear from you.

Who We Are
Our Team
Sharp Face Robotics is a FIRST Tech Challenge team from Emerald High School in Dublin, California. We empower students to grow as engineers, leaders, and community builders β€” designing competitive robots while running STEM outreach programs that reach thousands across the Bay Area.
48
Club Members
2
Coaches
9,395
People Reached
2,026
Volunteer Hours
Design
Engineering Excellence

Custom mecanum drivetrain, dual-compliant intake, and an iterated flywheel shooter β€” built for reliability all season long.

Software
Smart Autonomy

Pedro Pathing, AprilTag vision, and voltage compensation β€” clean code that makes the robot feel effortless to drive.

Outreach
Community Presence

We have an active presence across the Bay Area. Contact us for curriculum development partnerships or any other inquiries β€” we'd love to connect.

Meet Our Members
Team Bios
Varun Vasishta
Varun Vasishta
Team Captain
Grade Junior
Favorite Part Crashing into the Fadhil wall with no regret
Our Coaches
SF
Coach Jagadish
Head Coach
Favorite Part Watching students grow as engineers and leaders
SF
Coach Vijay
Assistant Coach
Favorite Part Mentoring students through technical challenges
Mechanical Team
Design & Build
Guhan Bala
Guhan Bala
Mechanical Outreach
Grade Sophomore
Favorite Part Being able to help the team from the ground up, learn engineering skills, meeting people from different teams and their approach to the season
Rithik Kesani
Rithik Kesani
Mechanical
Grade Freshman
Favorite Part Designing and building the robot
Vivaan Brar
Vivaan Brar
Mechanical Outreach
Grade Freshman
Favorite Part The challenge and how it forced us to improvise solutions quickly. Last years challenge was a great learning experience for a rookie team and we are preparing to do our best this season
Kevin Sun
Kevin Sun
Mechanical
Grade Sophomore
Favorite Part Watching the bot successfully have a 12 ball auto
Deep Shah
Deep Shah
Mechanical Outreach
Grade Sophomore
Favorite Part Learning throughout the season with my peers as well as creating nicknames for the entire team
Hussam Bajwa
Hussam Bajwa
Mechanical Outreach
Grade Sophomore
Favorite Part Meeting other teams and cheering on our team during games
SF
Fadhil Kudbudeen
Mechanical Outreach
Grade Sophomore
Favorite Part Getting Team Sponsors
Software Team
Programming & Controls
Arnav Gupta
Arnav Gupta
Software
Grade Junior
Favorite Part Programming donut routes
SF
Gautham ramalingam
Software
GradeSophomore
Favorite Part Optimizing robot performance
SF
Vivek Vasishta
Software Outreach
Grade Incoming Freshman
Favorite Part Driving and learning more code
Alex Xu
Alex Xu
Software
Grade Freshman
Favorite Part Joining a competetive yet friendly community
SF
Ryan Hoang
Software
Grade Sophomore
Favorite Part Cheering on the team
David Zhang
David Zhang
Software
Grade Freshman
Favorite Part Seeing the robot make a shot
SF
Ishita Singh
Software Outreach
Grade Freshman
Favorite Part Cooperating with QUEST
Robot Architecture
KG
Exploded CAD of robot KG showing shooter, transfer, intake, drivetrain, and electronics assemblies.

Exploded CAD + System Overview

KG was built around reliability, cycle speed, and simple serviceability. Our design combines an integrated mecanum drivetrain, dual-compliant intake, compact transfer path, and a tuned single-flywheel launcher so the robot can keep consistent scoring pressure throughout a match.

DrivebaseIntegrated mecanum with 45 degree rollers and low friction losses
IntakeDual-compliant 3-stage intake at 1150 RPM with a 35 degree ramp
TransferFlicker + passive ramp handoff with approximately 0.83 second transfer
LauncherSingle 3 inch flywheel tuned for approximately 50 degree scoring shots
AutonomousPedro Pathing with AprilTag + odometry localization and correction
Cycle TimingStructured 1.5 second shot sequence with staged trigger reset logic
ControlsState-machine architecture with voltage compensation and driver macros
Drivetrain

The drivetrain evolved from our first ladder-drive prototype into a fully integrated mecanum frame, improving packaging, rigidity, and maintainability while preserving smooth omnidirectional control.

Intake + Transfer

A dual-compliant pitching intake and compact transfer chain were tuned through iteration to handle approach angle errors, keep artifact flow stable, and reduce jams under match pressure.

Shooter

The launcher geometry and compression were refined across multiple versions to improve shot repeatability, reduce spin-up delay between cycles, and maintain accuracy from distance.

Localization

Limelight AprilTag sensing is fused with GoBILDA odometry for robust field awareness, enabling automatic alignment and distance-aware shooting in both autonomous and TeleOp.

Autonomous

Pedro Pathing and explicit state machines drive repeatable autonomous routes with recovery logic, giving us reliable multi-action cycles instead of fragile timing-only routines.

Driver Experience

Driver-centric controller mapping and macro actions keep controls predictable, so operators can focus on game awareness while automation handles repeatable timing-sensitive steps.

Innovation
Services

As a rookie team, we struggled to find AI tools tailored to FTC programming β€” so we built our own. Sharp is a large language model designed specifically to generate FTC-ready code, helping our team iterate faster and sharing that advantage with the wider robotics community.

Launch Sharp AI
Sharp
FTC Code LLM
Coming Soon

Telemark is a website to help new members learn Java for FTC, with a built-in simulator. A structured, level-gated curriculum built by student engineers. From Blocks to BΓ©zier curves β€” every concept hands-on.

Visit Telemark
Telemark Logo
Telemark
Master FTC Programming
Our Partners
Sponsors
Get in Touch

Interested in sponsoring, collaborating, or learning more about our team? We'd love to hear from you.