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WSQ - Mastering Robot Operating System (ROS) Essentials - Developing Intelligent Robots

WSQ - Mastering Robot Operating System (ROS) Essentials - Developing Intelligent Robots

This comprehensive course offers an in-depth exploration of the Robot Operating System (ROS a.k.a ROS2), tailored for professionals aiming to enhance their expertise in intelligent robotics. Participants will begin with an introduction to ROS, understanding its applications and installation procedures. The course will cover practical tools and techniques such as ROS CLI tools for environment configuration, using turtlesim, and managing nodes and topics. This training provides a solid foundation in navigating the ROS environment, ensuring participants are well-prepared to implement these skills in various robotics applications.

Advancing further, attendees will delve into more complex topics such as ROS Client Libraries, ROS TF2 for managing dependencies, and ROS Navigation for mastering LIDAR and SLAM techniques. Practical sessions include writing publishers, subscribers, and clients in Python, creating custom interfaces, and controlling robot movements through the Turtlebot and robot arms using Moveit packages. By applying control theory and system feedback, participants will be equipped to diagnose robotic system faults and review organizational workflows efficiently, ensuring a high level of application in real-world scenarios.

Learning Outcomes

By end of the course, learners should be able to:

LO1: Review organizational workflows using ROS in accordance to the principles of automation technologies.
LO2: Diagnose robotic system faults using ROS during robot setup and operations.
LO3: Apply ROS control theory and system feedback to manage robotics applications.

Course Brochure

Download WSQ - Mastering Robot Operating System (ROS) Essentials - Developing Intelligent Robots Brochure

Skills Framework

This course follows the guideline of Robotics and Automation Application AER-OPR-3020-1.1 under Aerospace Skills Framework

Certification

Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.
OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

Funding and Grant Applications

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.

Effective for courses starting from 1 Jan 2024
Full Fee	GST	Nett Fee after Funding (Incl. GST)
		Baseline	MCES / SME
$2,000.00	$180.00	$1,180.00	$780.00

Baseline: Singaporean/PR age 21 & above
MCES(Mid-Career Enhanced Subsidy): S'porean age 40 & above

Upon registration, we will advise further on how to tap on the WSQ Training Subsidy.

You can pay the nett fee (after the WSQ training subsidy) by the following :

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit (SFC)

Eligible Singapore Citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used. Click here to submit SkillsFuture Credit

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year. Click here to submit UTAP

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2024045221)

Scroll down to “Keyword Tags” to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form and email to us.

Course Code: TGS-2024045221

Post-Course Support

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Course Cancellation/Reschedule Policy

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom

Course Details

Topic 1: Introduction to Robot Operating System (ROS)

Overview of ROS (a.k.a ROS2)
ROS Applications
ROS Installation

Topic 2: ROS CLI Tools

Configuring environment
Using turtlesim, ros2, and rqt
Nodes
Topics
Services
Parameters
Actions
Using rqt_console to view logs
Launching nodes
Recording and playing back data

Topic 3: ROS Client Libraries

ROS file system
Creating a workspace
Creating a package
Writing a simple publisher and subscriber (Python)
Testing with Turtlesim
Writing a simple service and client (Python)
Creating custom msg and srv files
Implementing custom interfaces
Using parameters in a class (Python)
Using ros2bags

Topic 4: ROS TF2

Managing Dependencies with rosdep
Creating an action
Writing an action server and client (Python)
Composing multiple nodes in a single process
Launch
TF2
Testing
URDF

Topic 5: ROS Turtlebot

Introduction to Turtlebot
Install Turtlebot packages
Control the robot
Physical Turtlebot

Topic 6: ROS Navigation

Overview of LIDAR
ROS Cartographer
Using Cartographer to create a map of environment
Introduction to SLAM (Simultaneous Localization and Mapping)
Launching the navigation stack
Navigating the robot via rviz
Physical robot demo

Topic 7: ROS Applications

Obstacle Avoidance
Internet of Things (IoT)
Line Following
Gesture Controlled Navigation
Robot arm control

Final Assessment

Written Assessment - Short Answer Questions (WA-SAQ)
Practical Performance (PP)

Course Info

Promotion Code

Promo or discount cannot be applied to WSQ courses

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions
Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

Positive Learning Attitude
Enthusiastic Learner

Experience

Minimum of 1 year of working experience.

Minimum Software/Hardware Requirement

Softtware: Windows / Mac

Hardware: Laptop

About Progressive Wage Model (PWM)

The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity.

Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.

For more information on PWM, please visit MOM site.

Funding Eligility Criteria

Individual Sponsored Trainee

Employer Sponsored Trainee

Singapore Citizens or Singapore Permanent Residents aged 21 and above
From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from trainee if he/she did not meet the eligibility criteria.

Singapore Citizens or Singapore Permanent Residents who are DIRECT EMPLOYEE of the sponsoring company.
From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from the employer if trainee did not meet the eligibility criteria.

SkillsFuture Credit:

Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding.

PSEA:

To check for Post-Secondary Education Account (PSEA) eligibility, goto mySkillsFuture portal and search for this course code.
Scroll down to "Keyword Tags" to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.
And if there is no “PSEA” under keyword tags, the course is ineligible for PSEA.
Not all courses are eligible for PSEA funding.

Absentee Payroll (AP) Funding:

$4.50 per hour, capped at $100,000 per enterprise per calendar year.
AP funding will be computed based on the actual number of training hours attended by the trainee.

SFEC:

If the Training Provider has submitted an enrolment for course fee grant claim in Training Partners Gateway (TPGateway), SSG would be able to derive SFEC funding based on this record. There is no need for enterprise to submit any claim request and the SFEC claim will be automatically generated and disbursed.
Where there is no such record, eligible employers are required to submit an SFEC claim after course completion via the SFEC microsite.
SkillsFuture Enterprise Credit (SFEC) Microsite

Steps to Apply Skills Future Claim

The staff will send you an invoice with the fee breakdown.
Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
Upload your invoice and click ‘Submit’

SkillsFuture Level-Up Program

The SkillsFuture Level-Up Programme provides greater structural support for mid-career Singaporeans aged 40 years and above to pursue a substantive skills reboot and stay relevant in a changing economy. For more information, visit SkillsFuture Level-Up Programme

Get Additional Course Fee Support Up to $500 under UTAP

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

Note

SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
UTAP support amount will be paid to training provider first and claimed after end of class by learner.

Appeal Process

The candidate has the right to disagree with the assessment decision made by the assessor.
When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
The candidate must lodge the appeal within 7 days, giving reasons for appeal
The assessor can help the candidate with writing and lodging the appeal.
he assessment manager will collect information from the candidate & assessor and give a final decision.
A record of the appeal and any subsequent actions and findings will be made.
An Assessment Appeal Panel will be formed to review and give a decision.
The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
Please click the link below to fill up the Candidates Appeal Form.

Job Roles

Robotics Engineer
ROS Developer
Automation Engineer
Robotics System Integrator
ROS System Analyst
Control Systems Engineer
Robotics Technician
ROS Application Developer
Mechatronics Engineer
Robotics Research Scientist
AI & Robotics Specialist
Embedded Systems Engineer
ROS Consultant
Industrial Automation Engineer
Robotics Software Developer
ROS Trainer
Robotics Solutions Architect
IoT and Robotics Engineer
Robotics Operations Manager
ROS Technical Support Specialist

Trainers

Tan Woei Ming: Tan Woei Ming is a data scientist and robotics engineer with over 15 years of experience in artificial intelligence, automation, and machine learning applications. Holding a Master’s in Intelligent Systems from the National University of Singapore and a First-Class Honours degree in Electrical and Electronic Engineering from Nanyang Technological University, he has led numerous AI-driven research and development projects in industrial automation and robotic systems. His expertise spans sensor integration, computer vision, and intelligent control, with a focus on applying machine learning models to optimize real-time robotic operations.

In “Mastering Robot Operating System (ROS) Essentials – Developing Intelligent Robots,” Woei Ming trains learners to build and deploy intelligent robotic systems using ROS architecture. His sessions emphasize practical implementation, including simulation with Gazebo, node communication, and sensor fusion for autonomous behaviors. By bridging AI algorithms with robotic frameworks, he equips participants with the skills to develop adaptive robots capable of perception, decision-making, and self-learning.

Yuen Kian Sing: Yuen Kian Sing is a certified STEM and adult educator with over 20 years of experience in hardware programming, embedded systems, and robotics education

As an ACTA-certified instructor and MOE-registered STEM trainer, he has conducted courses on Arduino, Raspberry Pi, micro:bit, and Jetson Nano for both corporate and academic institutions. His professional experience includes developing SCADA and IoT systems for industrial automation, as well as managing Asia-Pacific projects in engineering solutions and partner enablement. He holds a Bachelor’s degree in Electrical and Electronics Engineering from Nanyang Technological University and a Diploma in Electronics Engineering from Singapore Polytechnic.

In “Mastering Robot Operating System (ROS) Essentials – Developing Intelligent Robots,” Yuen combines his technical expertise with strong pedagogical skills to guide learners in understanding ROS fundamentals and system integration. His lessons cover hands-on robotics programming, sensor calibration, and real-time data handling. With his background in automation and education, he enables participants to design and program intelligent robots that integrate seamlessly with IoT and AI applications.

Dr. Alfred Ang: Dr. Alfred Ang is a distinguished technology leader and educator with more than 20 years of experience in artificial intelligence, robotics, and digital transformation. As Chief Instructional Designer, CTO, and CIO of Tertiary Infotech Pte Ltd, he has spearheaded the design and development of over 500 WSQ- and IBF-accredited technology courses. Dr. Ang holds a PhD in Information Systems and multiple globally recognized certifications, including PMP, CompTIA Security+, and AWS Certified Solutions Architect. His career combines deep academic expertise with practical industry innovation, bridging AI research with real-world automation systems.

In “Mastering Robot Operating System (ROS) Essentials – Developing Intelligent Robots,” Dr. Ang teaches participants how to apply ROS for building, simulating, and deploying intelligent robotic systems. His sessions emphasize the integration of AI models, computer vision, and motion control using ROS frameworks. Through structured hands-on projects, he helps learners understand how to design modular, scalable, and adaptive robotic architectures that reflect the next generation of intelligent automation.

Customer Reviews (18)

Average Rating: 4.7/5 Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

N/A (Posted on 3/13/2026)

Average Rating: 5.0/5 Review by Course Participant/Trainee

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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

N/A (Posted on 3/13/2026)

Average Rating: 5.0/5 Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

Very knowledgable and helpful lecturer (Posted on 3/13/2026)

Average Rating: 5.0/5 Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
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3. How do you find the training environment

N/A (Posted on 3/13/2026)

Average Rating: 5.0/5 Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
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Expert and practical bootstrapping to world of Robot Operating System. thank you! (Posted on 3/13/2026)

Average Rating: 4.7/5 Review by Course Participant/Trainee

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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

Good (Posted on 3/13/2026)

will recommend Review by Course Participant/Trainee

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. (Posted on 6/30/2025)

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. (Posted on 6/30/2025)

willl recommend Review by Course Participant/Trainee

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. (Posted on 5/29/2025)

willl recommend Review by Course Participant/Trainee

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. (Posted on 5/29/2025)

willl recommend Review by Course Participant/Trainee

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. (Posted on 5/29/2025)

will recommend Review by Course Participant/Trainee

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. (Posted on 3/27/2025)

will recommend Review by Course Participant/Trainee

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. (Posted on 3/27/2025)

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. (Posted on 3/27/2025)

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. (Posted on 3/27/2025)

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. (Posted on 10/24/2024)

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WSQ - Mastering Robot Operating System (ROS) Essentials - Developing Intelligent Robots

Learning Outcomes

Course Brochure

Skills Framework

Certification

Funding and Grant Applications

SkillsFuture Enterprise Credit (SFEC)

SkillsFuture Credit (SFC)

UTAP

PSEA

Fee

Course Information

Post-Course Support

Course Cancellation/Reschedule Policy

Course Details

Course Info

Promotion Code

Minimum Entry Requirement

Minimum Software/Hardware Requirement

About Progressive Wage Model (PWM)

Funding Eligility Criteria

Steps to Apply Skills Future Claim

SkillsFuture Level-Up Program

Get Additional Course Fee Support Up to $500 under UTAP

Steps to Apply UTAP

Note

Appeal Process

Job Roles

Trainers

Customer Reviews (18)

Write Your Own Review

You're reviewing: WSQ - Mastering Robot Operating System (ROS) Essentials - Developing Intelligent Robots

How do you rate this product? *

You May Be Interested In These Courses

WSQ - Robotics Process Automation (RPA) for Beginners

WSQ - Mastering Raspberry Pi: Hands-On Practical Applications for Beginners

WSQ - Practical Electronics Design with Arduino Microcontroller

WSQ - Fundamentals of Robot Operating System ROS for Beginners

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