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Instructor-led Classroom Adult Training in Singapore - Modular Fast Track Skill-Based Trainings

ROS Navigation Course

ROS Navigation allow you to create maps of environments, localize the robot in the environment, make the robots perform path planning, visualize data of the different Navigation processes, debug errors using RViz and configure the different Navigation nodes.

The course will allow you to understand ROS Navigation on Turtlebot 3.

This course will use Turtlebot 3 Burger ROS robot for navigation

Course Highlights

  • Setup Turtlebot 3
  • SLAM
  • Navigation
  • Autonomous Driving


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

Funding and Grant Applications

Click the links below to apply. Note that you need to register the course first.

For Singaporeans: SkillsFuture Credit

For Company:

Course Code: CRS-N-0049566

Course Booking

$298.00 (GST-exclusive)

Course Date

Course Time

* Required Fields

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 Overview of ROS Navigation and Turtlebot

  • Introduction of ROS Navigation
  • Overview of Turtlebot 3
  • Turtlebot3 hardware

Topic 2 Basic Navigation with Turtlebot 3

  • Setup Turtlebot3
  • Setup Teleoperation
  • Visualize Mapping with RViz

Topic 3 SLAM with Turtlebot 3

  • Simultaneous Localization and Mapping (SLAM)
  • Setup SLAM on Turtlebot 3
  • Fine Tuning and Save Map
  • Navigation with Map

Topic 4 Autonomous Driving

  • Turtlebot Autorace
  • Autobot RBiz

Topic 5 Machine Learning (Optional)

  • Install Tensorflow
  • Setup Parameters
  • Run Machine Learning

Course Admin


This course is assumed some basic knowledge on ROS. If you don't have background in  ROS , you can consider the following courses:

Hardware and Sofware Requirement

Who Should Attend

  • Robotics Engineers
  • Automation Engineers
  • Manufacturing Engineers


ROS TrainerSim Cher Khern (Sim CK) has over 20 years of working experience in a number of product development lifecycles, involving embedded firmware and FPGA programming, as well as high speed embedded system hardware design and PCB layout, where EMI/EMC considerations are critical for product delivery. He has also gained much project management experience and knowledge working with various operating systems (Windows, Linux, RTOS), networking technologies and web interface while developing the products.

Being a technology enthusiast, he keeps up with emerging technologies and likes to get his hands dirty with projects. In the process, he has picked up knowledge in full stack web development and its deployment to the cloud platform. He has also acquired knowledge on Cybersecurity threats, Network Defense and Ethical Hacking.

CK holds a MSc in Embedded Systems from Nanyang Technological University (NTU), as well as Cybersecurity certifications from EC-Council (ECSS, CND, CEH and CHFI).

His current area of interests include Cybersecurity, Embedded system hardware and firmware, IoT, Web technologies and Machine learning. They are intertwined in today’s business systems setup.

ROS TrainerTaozheng Yang got his master degree from University of California Berkeley, majored in Advanced Control system design. He has been worked as a robotics software engineer in USA for 1 year, and currently working in A*STAR as a research engineer for advanced robotics application. HIs strength is in Robotics motion planning, robot control, robot imitation learning, and algorithm implementation. He like badminton, swimming, DIY, and reading!

ROS TrainerSam Lee is both a technical person as well as an entrepreneur. He owns a number of companies, many of which are in the technology field. One of his companies, Factory Chain is into software, hardware and AI. The company designs and builds advanced modular robots that include self-charging, autonomous navigation, AI vision and AI speech. Mr Lee has a Masters of Engineering degree from Imperial College, University of London

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