Pedro Pathing vs Road Runner

Pedro Pathing is a recently-created library for autonomous.
It uses a GVF algorithm utilizing Bézier Curves to follow trajectories with speed as a top priority.

• Docs: https://pedropathing.com
• Quickstart: https://github.com/Pedro-Pathing/Quickstart

Pros of Pedro

• Can make your bot drive faster.
• Support for recent sensors (OTOS, Pinpoint) is official/built-in.
• Excellent correction for unexpected disturbances.

Cons of Pedro:

• Newer, so potentially less stable/buggier.
• Fewer people are familiar with it and able to help.
• Not necessarily time-consistent.
• Uses a nonstandard coordinate system by default/in visualizer.

Road Runner is a motion-profiling-based follower library that includes a command-based action system and geometry.

It was originally (0.5) created late 2020(?), with version 1.0 created mid-2023 and last updated 10/13.

It prioritizes time consistency above all else.

Library Repo: https://github.com/acmerobotics/road-runner/

Quickstart: https://github.com/acmerobotics/road-runner-quickstart/tree/master/

Official Docs: https://rr.brott.dev/docs/v1-0/installation/

Pros of Road Runner:

• Stable, minimal bugs if any
• Time consistent by default
• Extensively tested; used by thousands of teams
• Tons of people are able to help you in FTC Discord; someone has almost certainly had your problem before
• Lots of projects integrate with it
• Uses the FIRST-recommended standard coordinate system consistently

Cons of Roadrunner:

• Prioritizes time consistency above all else, meaning potentially worse correction
• Slower speed by default
• Support for recent sensors like the SparkFun OTOS and Pinpoint is unofficial (though still exists, made by j5155)

This page is also available on Pedro Docs. (Note: the Pedro team has updated the version on Pedro docs separately, and we cannot vouch for its accuracy.)

Last Updated: 2025-1-5