Date: September 29, 2025 (Monday)
Time: 11:00am – 1:00pm
Venue: Makerspace A, Tam Wing Fan Innovation Wing One, HKU
The Robot Operating System (ROS) (https://www.ros.org/) is a set of open-sourced software libraries and tools that help you build robot applications. From drivers to state-of-the-art algorithms, and with powerful developer tools, ROS has what you need for your next robotics project. ROS is de facto industrial standard for developing system for robots. It is important to everyone who wants to work in the field of robotics.
This workshop aims to give students hands-on experience on training object detection model. Student will explore the key concepts of object detection, comparing the object detection with traditional computer vision. This session will also cover data annotation, YOLOv11 object detection model training, training result analysis, and introduce tools to speed up the data annotation process.
Date: September 29, 2025 (Monday)
Time: 11:00am – 1:00pm
Venue: Makerspace A, Tam Wing Fan Innovation Wing One, HKU
Learning Objectives:
- Understand the fundamentals of object detection
- Be able to train a YOLOv11 object detection model
Prerequisites:
- Bring a laptop with the required software environment pre-installed (Anaconda:
https://www.anaconda.com/download/success
You can install any version as long as it fits in your computer.) - Please also register an account in GitHub beforehand: https://github.com)
Materials Provided:
- M8 Screws x50
| Activity | Duration |
|---|---|
|
Overview of the workshop and introduction of some basic concepts of robotic arms |
10 mins |
|
Use python codes to program a robot arm |
30 mins |
|
Introduction to hand-eye calibration for coordinating robotic arms and cameras |
10 mins |
|
Practice of hand-eye calibration |
30 mins |
|
Object recognition by colors and practice |
20 mins |
|
Wrap Up |
10 mins |
