Can I use this for TeleOp control?

Yes, the skill includes templates for TeleOp movement vectors, supporting both robot-centric and field-centric control schemes via the Follower class.

How does this skill prevent common robotics programming errors?

It proactively warns against common mistakes such as forgetting to call the follower.update() method or failing to set a starting Pose.

Does this skill handle heading interpolation?

Yes, it provides implementation patterns for linear heading interpolation and ensures users use radians instead of degrees for rotation.

What is the primary benefit of using Pedro Pathing over other libraries?

Pedro Pathing allows for non-stop, fluid movement between waypoints using Bezier curves, resulting in faster and more reliable autonomous periods.

Pedro Pathing for FTC

Name: Pedro Pathing for FTC
Author: ncssm-robotics

byncssm-robotics

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Productivity & Workflow

Generates smooth autonomous navigation and pathing code for FTC robots using Bezier curves and the Pedro Pathing library.

About

Pedro Pathing for FTC is a specialized developer skill designed to accelerate the creation of robotics code for the FIRST Tech Challenge. It provides structured guidance on implementing the Pedro Pathing library, focusing on Bezier-curve-based path generation, Follower class management, and state-machine-driven autonomous routines. Whether you are building complex PathChains or setting up field-centric TeleOp controls, this skill ensures you follow best practices such as proper heading interpolation and consistent loop updates for precise robot navigation.

Key Features

Bezier curve and PathChain generation for smooth movement
Anti-pattern detection for robotics-specific errors
Follower class and Pose configuration assistance
2 GitHub stars
Autonomous state machine scaffolding and logic
Heading interpolation management using radians

Use Cases

Building multi-stage autonomous routines for FTC competitions
Optimizing path following constraints and completion conditions
Configuring smooth robot-centric and field-centric TeleOp movement

About

Key Features

Bezier curve and PathChain generation for smooth movement
Anti-pattern detection for robotics-specific errors
Follower class and Pose configuration assistance
2 GitHub stars
Autonomous state machine scaffolding and logic
Heading interpolation management using radians

Use Cases

Building multi-stage autonomous routines for FTC competitions
Optimizing path following constraints and completion conditions
Configuring smooth robot-centric and field-centric TeleOp movement