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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 Navigation packages that others have done. So you can take ROS code made by others and understand what is happening and how to modify it for your own purposes.

This course will use Turtlebot 3 Burger ROS robot for navigation

Course Highlights

  • Basic Usage and control of the Turtlebot3 robot.
  • How to perform Navigation with Turtlebot3.
  • Follow a line with Turtlebot3.
  • Object Recognition with Turtlebot3
  • Motion Planning in Moveit with Turtlebot3


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

Module 1 Introduction to ROS Navigation

  • Configure your Robot
  • The Navigation Stack
  • The move_base Node

Module 2 Mapping

  • Visualize Mapping in RViz
  • Simultaneous Localization and Mapping (SLAM)
  • Transforms
  • Creating a Launch file for the slam_gmapping Node
  • Build a Map Using Logged Data

Module 3 Localization

  • Visualize Localization in RViz
  • Monte Carlo Localization (MCL)
  • The AMCL Package
  • Creating a launch file for the AMCL node
  • AMCL through Services

Module 4 Path Planning

  • Visualizing Path Planning in RViz
  • The move_base package
  • The Global Planner
  • The Local Planner

Course Admin


This course is for beginner. No programming or coding knowledge is required. All the programming and coding concepts will be introduced during the class. 

Hardware Requirement

Ubuntu Laptop with Ubuntu 16 and above;

Software Requirement

Who Should Attend

  • Robotics Engineers
  • Automation Engineers
  • Manufacturing Engineers


ROS TrainerDr.Sai Manoj Prakhya currently is Principal Engineer for Autonomous Vehicle Technology company. He worked as research scientist in A*Star. He got his PhD in 3D Perception for Mobile Robotics from NTU in 2017. His expertise are Self-Driving Cars, 3D Mapping and Localization, Sensor Fusion and Object Tracking, Mobile Robotics, 3D Perception, PCL (Point Cloud Library), ROS (Robot Operating System), Deep Learning, PIC Microcontroller, C, C++, Python, MATLAB.

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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