Javi-vahe

Javi-vahe / Abot-Cruise-Workspace

Public

the repository contains the complete ROS1 workspace for a visual autonomous navigation racing robot. Developed entirely from scratch, this system achieved an absolute leading position, breaking the historical competition record and securing the National First Prize in the China Robotics and Artificial Intelligence Competition (CRAIC).

19
3
100% credibility
Found Apr 22, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
C++
AI Summary

A ready-to-use software kit for building an autonomous wheeled robot that maps spaces, navigates goals, detects objects, and runs competition tasks.

How It Works

1
🔍 Discover the robot adventure

You find this fun project online for making a wheeled robot explore rooms and find objects like a smart pet.

2
💻 Get ready on your computer

Download the simple instructions and prepare your computer to talk to the robot hardware.

3
🗺️ Teach the robot your space

Drive the robot around with keyboard controls to create a personal map of your room or course.

4
🚀 Robot knows the way!

Watch in amazement as your robot remembers the map and starts navigating to spots you pick.

5
👁️ Add super vision

Show the robot pictures of objects or tags it should spot during its trips.

6
🎯 Run the full mission

Launch the robot to cruise, detect targets, and complete tasks automatically.

🏆 Victory lap!

Your robot patrols perfectly, finds everything, and feels like a competition champion.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 19 to 19 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is Abot-Cruise-Workspace?

This C++ ROS1 workspace powers a wheeled robot for visual autonomous navigation in racing competitions, handling everything from chassis control and IMU fusion to laser SLAM, path planning, object detection, AR tag tracking, and multi-point cruising. Users get a battle-tested stack that broke records and won China's national robotics prize, with one-click scripts for mapping (gmapping) and full navigation runs. Plug in Abot hardware like RPLidar and USB cams, catkin_make, and launch via simple shell scripts or roslaunch files.

Why is it gaining traction?

It delivers absolute competition-ready performance out of the box, skipping weeks of integration for SLAM, visual servoing, and task orchestration—proven by its national first-prize win against seasoned teams. Developers grab it for the tuned navigation (custom laser matching + PID tracking) and modular perception (find-object 2D detection, AR triggers), plus easy extensibility for voice or peripherals, all in a single, runnable ROS1 repo.

Who should use this?

ROS1 robotics engineers prepping wheeled bots for races like CRAIC, or researchers prototyping visual SLAM/navigation on Abot platforms. Ideal for students/teams needing a high-speed baseline for laser+vision autonomy, avoiding reinventing drivers or planners.

Verdict

Solid learning reference or fork for Abot users despite 19 stars and 1.0% credibility—docs are thorough with run chains, but expect tweaks for non-Ubuntu18.04/Abot hardware; no active maintenance means it's a snapshot, not evolving. Try for inspo, not production.

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.