ftclib

FTCLib provides a command-based framework with subsystem patterns for modular FTC robot development, reducing boilerplate and maintenance. You organize robot code into independent subsystems and commands to separate control logic from hardware operations.

You can map gamepad inputs for an FTC robot teleop routine using the GamepadEx enhanced input handling utility. It provides button bindings to rapidly configure control mappings and trigger commands without writing manual polling logic.

FTCLib implements autonomous path following for FTC robots using a Pure Pursuit algorithm. This allows your robot to navigate autonomous paths accurately by calculating continuous curvature trajectories during the autonomous period.

You add vision pipelines to an FTC robot project by integrating the vision utilities provided by FTCLib. These pipelines process camera input for perception tasks, enabling your robot to detect and react to game elements during autonomous or teleop.

Yes, you can integrate command-based subsystems into an existing FTC project by adding FTCLib as a Gradle dependency. The framework provides a stable API and example implementations to accelerate adoption without requiring a full project rewrite.

Command-based FTC robot programming works for both teleop and autonomous periods. FTCLib provides real-world usage examples illustrating how to bind commands for driver control and schedule autonomous sequences using the same subsystem architecture.