A custom autonomous path-following library for FTC, plus a browser-based visual tool for drawing a path on the field and generating the Java to drive it.
This quickstart is built on the official FIRST-Tech-Challenge/FtcRobotController SDK.
Draw a path on the field, tune it visually, and copy the generated Java straight into an OpMode. Start here: no setup required, it just runs in your browser.
Launch the planner →Clone the repo, wire up your Pinpoint and drive motors, and construct the library in your OpMode.
Read the guide →A step-by-step order of operations: localizer sign conventions, PID gains, then the spline follower. Don't skip ahead.
Read the guide →Add your own mechanisms (intake, arm, shooter...) alongside NeuronDrive, and call them from both TeleOp and Autonomous.
Read the guide →Robot driving the wrong way, oscillating, cutting corners? Look here before you start changing gains at random.
Read the guide →Clone this repo and open the root folder in Android Studio. Build once to confirm everything syncs cleanly.
Set your Pinpoint offsets and track width, then work through Tuning in order: localizer first, PID second, spline follower last.
Open the Neuron Path Planner, draw
your auto, and paste the generated code into an OpMode like
NeuronSplineAuto.java.
This is what the planner generates, and what every example OpMode follows:
NeuronLocalizer localizer = new NeuronLocalizer(hardwareMap, telemetry, xOffsetMm, yOffsetMm);
NeuronDrive drive = new NeuronDrive(hardwareMap, localizer, trackWidthIn);
localizer.setPosition(new Pose2D(0, 0, 0));
localizer.calibrate(true);
waitForStart();
drive.splineToPoint(new Pose2D(24, 24, Math.toRadians(90)), false, false, 1, 0.8);
while (opModeIsActive() && drive.isBusy()) {
drive.update(); // NeuronDrive only moves while this is being called
}