RoboRacer - Learn
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Getting Started

  • Start Here!

Overview

  • Introduction
  • Syllabus

Setup

  • VESC setup
  • Lidar Setup
  • RoboRacer Driver Stack
  • Calibrate Odom
  • NoMachine
  • INSTALL - Realsense D435i
  • SETUP - OpenCV
  • SETUP - Realsense ROS
  • SETUP - SLAM
  • SETUP - Nav2

Modules

  • Module A: Introduction to ROS, RoboRacer & the Simulator
  • Module B: Reactive Methods
  • Module C: Mapping & Localization
  • Module D: Planning & Control
  • Module E: Vision
  • Module F: Special Topics
    • Lecture 17 - Detection and Pose Estimation
    • Lecture 18 - Extending Single View and YOLO
    • Lecture 19 - Project Proposal
    • Lecture 20 - Raceline Optimization
    • Lecture 21 - Model Predictive Control
    • Lectures 22 - Moral Decision Making
    • Lectures 23-25 - Special Topics
  • Module G: RoboRacer Grand Prix!!
  • Material Downloads

Module A - Introduction

  • Tutorial 1 - ROS 2 Intro and Turtlesim
  • Tutorial 2 - Automatic Emergency Braking

Module B - Reactive Methods

  • Tutorial 3 - Wall Following
  • Tutorial 4 - Follow the Gap

Module C - Mapping & Localization

  • Tutorial 5 - SLAM
  • Tutorial 6 - Nav2 Navigation

Module D - Planning & Control

  • Tutorial 7 - Particle Filter Localization
  • Tutorial 8 - Pure Pursuit

Weber Assignments

  • Labs

Assignments

  • Labs
  • Races
  • Final Project
  • Grading Rubrics

Support

  • Contact
  • Acknowledgements
RoboRacer - Learn
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  • Module F: Special Topics »
  • Lecture 19 - Project Proposal
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Lecture 19 - Project ProposalΒΆ

Overview:

This lecture introduces the final project to the class. A few possible project suggestions are presented, however students are free to come up with their own ideas and propose to the teaching team.

Slides:

Associated Assignment:

  • Lab 9: Robot Ethics released

Links to additional resources:
  • Speed Control for Robust Path-Tracking for Automated Vehicles at the Tire-Road Friction Limit

  • Toward Automated Vehicle Control Beyond the Stability Limits: Drifting Along a General Path

  • Minimum-time Speed Optimization Over a Fixed Path

  • Tech Report: TUNERCAR: A Superoptimization Toolchain for Autonomous Racing

  • Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

  • World Models

  • ElasticFusion: Dense SLAM Without A Pose Graph

  • Diverse Image Synthesis from Semantic Layouts via Conditional IMLE

  • Towards Dependable Robotic Perception

  • An Autonomous AI racecar using NVIDIA Jetson Nano

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© Copyright 2025, Weber State University. Based on RoboRacer (CC-BY-NC-SA 4.0) Last updated on Apr 02, 2026.

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