Curriculum Overview

Explore the detailed course structure and weekly plan for our Robotics Summer Camp.

Weekly Schedule

Time Monday Tuesday Wednesday Thursday Friday
Morning
10:00 - 12:00
Mechanical System & Design (T) Electronics (T) Algorithms (T) Simulation / Real-robot (P) Artificial Intelligence (T)
Break
12:00 - 13:00
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Afternoon
13:00 - 15:00
Sensors & Actuators (T+P) 1-bit Adder (P) Tools (P) Simulation / Real-robot (P) YOLO (P)

(T) indicates theory; (P) indicates practical/lab work. We have 5 days, each 4 hours total (2 hours in the morning, 2 in the afternoon) for a total of 20 hours.

Weekend Schedule (June 21-22, 2025)

Saturday, June 21 (7 Hours)

09:00-09:30 Camp Introduction - Welcome & team formation
09:30-10:00 General Robotics Intro - What is Robotics?
10:00-11:00 Mechanical Design Lab - 3D CAD design (T & P)
11:00-12:00 Mechanical Design Lab - 3D CAD design (P)
12:00-13:00 Break Time - Food, snacks & games
13:00-14:00 Sensors & Actuators - Sensors testing (T & P)
14:00-15:00 Electronics Lab - 1-bit adder (T & P)
15:00-16:00 Electronics Lab - 1-bit adder (P)

Sunday, June 22 (5 Hours)

11:00-12:00 Algorithms - Computational thinking & robot algorithms (T)
12:00-13:00 Robotics Lab Session 1 - Tools & Simulation (P)
13:00-14:00 Robotics Lab Session 2 - Real-robot (P)
14:00-15:00 AI Lab - Machine Learning Theory (T)
15:00-16:00 AI Lab - Computer Vision project (P)

Weekend intensive format: 12 total hours over 2 days. Mix of theory and hands-on practical work across all major robotics disciplines.
(T) indicates theory; (P) indicates practical/lab work.

Detailed Curriculum

Module Theory Practical / Lab Work
Mechanical System & Design 2 hrs Kinematics
Holonomic & Non-holonomic systems
0 hrs
Sensors & Actuators 1 hrs Wheel encoders / IMU
Camera / LiDAR
Electric actuators
Hydrolic & Pneumatic actuators
1 hrs Sensors testing
Electronics 2 hrs Electronic components
Circuits & Logic Gates
Binary numbers
Computer architecture
2 hrs 1-bit Adder
Algorithms 2 hrs Mapping
Localization
Planning
Controls
6 hrs Tools (Linux, ROS2)
Simulation / Real-robot
Artificial Intelligence 2 hrs Machine Learning
Neural Networks
Computer Vision
Large Language Models
2 hrs YOLO fine-tuning
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