BotQuest is a dedicated initiative by CodingAI, designed with academics at its core.

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ROS projects

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Description:

In this project, you’ll program a robot (or simulation) to follow a moving object—like a person or a colored ball. You’ll use ROS to control the robot, process camera input, and detect movement. This teaches how sensors, cameras, and code work together to create a smart, responsive robot.

📘 Learnings:

  • How a robot “sees” using a camera

  • Basic ROS topics: /cmd_vel, /image_raw, etc.

  • Real-time robot control using image processing

🛠 Tools: TurtleSim or TurtleBot, OpenCV, ROS Noetic or ROS2

Description:

Build a smart room simulation where lights turn on when someone enters and off when they leave. You’ll use virtual sensors and a robot to detect motion and send signals to control lights. It’s a fun way to learn how robots interact with environments and automate everyday actions.

📘 Learnings:

  • Using ROS topics and services

  • Simulating sensors and control systems

  • Intro to automation logic

🛠 Tools: Gazebo, RViz, ROS Nodes, Python

Description:

Create a robot that finds its way through a maze using sensors and path planning. You’ll simulate how robots use LiDAR or distance sensors to avoid walls and reach a goal—just like a mini self-driving car!

📘 Learnings:

  • Mapping and navigation basics

  • Sensor integration in ROS

  • Decision-making using logic and math

🛠 Tools: Gazebo simulator, ROS Navigation Stack, Rviz