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Enhance Your Employability with Certified Skills and Courses in Singapore - WSQ , IBF-STS, Skills Certification

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

This course is not yet approved for WSQ funding

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

TBD

Skills Framework

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

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant Applications

No funding is available for this course

Course Code: TPG-2024061242

Course Booking

The course fee listed below is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

$2,000.00 (GST-exclusive)
$2,180.00 (GST-inclusive)

Course Date

* Required Fields

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 and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


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

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 

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

Man Guo Chang: Man Guo Chang graduated from Nanyang Technological University, School of Electrical and Electronic Engineering, major in Computer Engineering.

He has more than 25 years of working experience in the Semiconductor field, specialized in IC Testing, Inline Electrical Testing, Product & Yield Engineering, Data Analysis, System Engineering, and Software Development. He is also an ACTA certified trainer, currently providing STEM training to adult learners in the area of Computer Vision, Internet of Things, Embedded Electronics, and Python Programming.

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