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WSQ - Fundamentals of Robot Operating System ROS for Beginners

WSQ - Fundamentals of Robot Operating System ROS for Beginners

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Eager to push the boundaries of robotics? Our WSQ System Integration with Robot Operating System (ROS) course is your stepping stone to creating robust and scalable robotic systems. Gain hands-on experience in sensor interfacing, middleware management, and ROS software development. From setting up simple actuator controls to orchestrating complex robotic behaviors, this course empowers you with the expertise to make significant contributions in the field of robotics.

But we go beyond basic system integration. Delve into advanced ROS topics, such as state machines, 3D perception, and multi-robot systems. Learn how to handle real-world challenges like system latency, data synchronization, and complex event handling. These skills not only make you proficient in ROS but also equip you to drive innovation in any robotics-related project. Whether you’re a seasoned engineer or a tech enthusiast, this course lays the foundation for your success in the ever-evolving world of robotics.

Learning Outcomes

By end of the course, learners should be able to

LO1: Conduct assessment on robotics system integration using ROS
LO2: Utilise ROS tools and protocols
LO3: Test LIDAR and SLAM with ROS
LO4: Perform robotics system integration with ROS

Course Brochure

Download WSQ - Fundamentals of Robot Operating System ROS for Beginners Brochure

Skills Framework

This course follows the guideline of System Integration ICT-DIT-3016-1.1 TSC under ICT 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.

WSQ Funding

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
$800	$72.00	$472.00	$312.00

Baseline: Singaporean/PR age 21 and 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 for SkillsFuture Credit submission

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. Please inform us if you intend to use your PSEA funding .

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2020513213)

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-2020513213

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: Overview of System Integration with ROS

Introduction to Robot Operating System (ROS)
System Integration with ROS

Topic 2: Basic ROS Tools

ROS Workspace and Package
ROS Nodes and Launch
ROS Topics and Messages
Publishers and Subscribers Protocol
ROS Services and Actions
ROS Bags

Topic 3: LIDAR and SLAM

Overview of LIDAR and SLAM
Testing LIDAR system using ROS

Topic 4: Robotics System Integration

Overview ROS TF and URDF
ROS system Integration on a robot

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 with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
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 18 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

Please install VirtualBox, Ubuntu and ROS.

Hardware: Windows and Mac Laptops

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 of age 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
Robotics Researcher
Autonomous Vehicle Engineer
Drone Systems Developer
Robotic Manipulation Specialist
AI & Robotics Developer
Embedded Systems Engineer (with robotics focus)
Machine Vision Engineer
Mechatronics Engineer
Industrial Robot Programmer
Robot Simulation Specialist
IoT Engineer (with robotics applications).

Trainers

Tan Woei Ming – Tan Woei Ming is an ACLP-certified trainer and data science professional with more than a decade of experience in AI, IoT, and robotics applications. He holds a Master’s degree in Intelligent Systems from NUS and a First-Class Honours degree in Electrical and Electronic Engineering from NTU. At Micron Semiconductor, he developed AI- and IoT-enabled solutions, including embedded systems and robotics applications for manufacturing optimization and automation.

In his ROS training, Woei Ming introduces learners to robotics fundamentals, focusing on how ROS can be applied in robot control, sensor integration, and data processing. His sessions emphasize hands-on practice, guiding participants through setting up ROS environments, working with nodes and topics, and simulating robotic tasks. By combining academic research with industry applications, he equips learners to confidently begin their journey in robotics with ROS.

Richard Wan – Richard Wan is an ACLP-certified lecturer with more than 40 years of experience in software, hardware, embedded systems, and computer vision. A government scholar, he holds a Master’s in Computer Vision and a Bachelor’s in Electrical Engineering and Computer Science from the University of Wisconsin, Madison. He has co-founded multiple high-tech firms, including Mediaring Ltd (SGX-listed) and E-Book Systems, and has led advanced R&D initiatives in AI, IoT, and robotics.

In his ROS training, Richard focuses on bridging robotics theory with practical implementation using Python and C++. His sessions cover robot control, navigation, and perception using ROS, paired with real-world examples in automation and computer vision. With his decades of technical and entrepreneurial experience, Richard ensures learners acquire both the foundational knowledge and applied skills to work with ROS in robotics projects.

Ken Yuen – Ken Yuen is an ACTA-certified trainer and STEM educator with more than 15 years of experience in embedded systems, robotics, and IoT. He has conducted WSQ and SkillsFuture courses in Arduino, Raspberry Pi, Jetson Nano, and ROS, training professionals and students in more than 50 schools and institutions. As a technical consultant, he has designed IoT monitoring and SCADA systems, giving him strong applied knowledge in robotics and automation.

In his ROS training, Ken emphasizes beginner-friendly, hands-on learning. His sessions guide learners through ROS installation, working with publishers and subscribers, and integrating sensors with robotic platforms. By combining STEM teaching experience with real-world technical projects, Ken ensures participants gain the confidence to apply ROS for building and controlling robotic systems.