Pre-University Engagement

AI Workshop - Turtlebot3 YOLO

Discover how AI and robotics come together!
In this hands-on workshop, participants will train an AI model to detect real-world objects and control a mobile robot powered by computer vision. Learn how to make the TurtleBot3 “see” and “think” using YOLOv11, Python, and advanced sensors like LIDAR and IMU.

AI Workshop - Turtlebot3 YOLO

Discover how AI and robotics come together!
In this hands-on workshop, participants will train an AI model to detect real-world objects and control a mobile robot powered by computer vision. Learn how to make the TurtleBot3 “see” and “think” using YOLOv11, Python, and advanced sensors like LIDAR and IMU.

AI Workshop - Turtlebot3 YOLO

Discover how AI and robotics come together!
In this hands-on workshop, participants will train an AI model to detect real-world objects and control a mobile robot powered by computer vision. Learn how to make the TurtleBot3 “see” and “think” using YOLOv11, Python, and advanced sensors like LIDAR and IMU.

AI Workshop

TurtleBot3 YOLO Workshop
Learn, Code & Control with AI robotics

Discover how AI and robotics come together!
In this hands-on workshop, participants will train an AI model to detect real-world objects and control a mobile robot powered by computer vision. Learn how to make the TurtleBot3 “see” and “think” using YOLOv11, Python, and advanced sensors like LIDAR and IMU.

📅 12 & 15 December 2025
🕙 9.00am – 5pm (Day 1) Lunch will be provided
🕙 9.00am – 3pm (Day 2)
📍 NUS CDE, E4A-04-08

👉 Registration is free, but slots are limited. Sign up here by 28 November 2025, 11.59pm to secure your place!

Workshop Objective

  • Train a YOLOv11 object detection (computer vision) algorithm to identify images of traffic signs and QR Codes.
  • Utilise LIDAR and IMU to facilitate navigation.
  • Code a Python script to move the robot based on the string output of the object detection model

Learning Outcomes

  • Describe the process of identifying QR codes.
  • Describe the process of training custom object identification models.
  • Identify the basic kinematic conventions on a differential drive robot (i.e. axes in robot frame and direction).
  • Utilize and integrate sensors to tasks.
  • Describe the basic syntax and logic flow of a Python script that moves the robot.

VENUE
CDE Campus 

WORKSHOPS IS OPEN FOR
Junior College, Polytechnic Diploma, International Baccalaureate and NUS High School students  

FOR MORE INFORMATION, PLEASE CONTACT
Ms Genia Ong
Tel: +65 6516 8852
Email: geniaong@nus.edu.sg