DRT 338 · 3(2-3-5) · Year/term 3/2

Automation and Robotics Technology

ระบบอัตโนมัติและหุ่นยนต์

Progress

Notional hours: 150 h (online/self-study 75 · in class/lab 75)

Course description

Automation and robotics; mobile robots; sensors; actuators; control systems; IoT; data connectivity; and integration of UAS, robots and industrial automation.

Thai description

Automation, Mobile Robotics, Sensors, Actuators, Control, IoT และ Data Connectivity รวมถึงการบูรณาการ UAS หุ่นยนต์ และระบบอัตโนมัติอุตสาหกรรม

Description source: Curriculum draft (25 Sep 2026)

Course learning outcomes (CLO)

CLO	Outcome	PLO
CLO1	Explain robot kinematics and motion planning	PLO1
CLO2	Develop robotic systems with ROS 2	PLO4
CLO3	Integrate ground robots with UAS	PLO5

Learning modules

1Robots and automation
Weeks 1–3 · 30 h2 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

Topic 3: Robotics & autonomous systemsTH
Industrial automation and PLCsIn development

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

2Robot kinematics
Weeks 4–6 · 30 h1 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

Robot kinematics and motion planningIn development

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

3ROS 2
Weeks 7–9 · 30 h2 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

ROS 2 and flight-stack integrationIn development
Deep dive: from embedded systems to AI robots and ROSTH

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

4Path planning and avoidance
Weeks 10–12 · 30 h1 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

Autonomous path planning and obstacle avoidanceIn development

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

5Multi-robot systems
Weeks 13–15 · 30 h2 KU

Online (before class) · 15 h

Study the assigned knowledge units in advance, review media and take the module quiz

Multi-UAV coordinationIn development
Deep dive: coordinating drone swarms over LoRa mesh networksTH

In class / field · 15 h

Lab or field practice from worksheets with a safety checklist

Learning evidence: Checked worksheets and quiz results

Open module

Assessment (draft)

Labs and worksheets	35%
Module quizzes	10%
Midterm examination	20%
Mini-project or practical exam	35%

Knowledge domain

D02 Programming and digital technology D04 Sensors and embedded systems D06 Control, autopilot and navigation D07 Communications, networks and IoT D11 Artificial intelligence and computer vision D12 Automation, robotics and swarms

Key references

Lynch, K. M., & Park, F. C. (2017). Modern robotics: Mechanics, planning, and control. Cambridge University Press. link
Siegwart, R., Nourbakhsh, I. R., & Scaramuzza, D. (2011). Introduction to autonomous mobile robots (2nd ed.). MIT Press.
Open Robotics. ROS 2 documentation. link