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Industrial Autonomous Mobile Robots (AMRs) Navigation and Planning via ROS

Topic:Engineering, Others

Course Type:Short & Modular Courses

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Overview

  • Course Date:

    TBA
  • Registration Period:

    TBA
  • Duration/Frequency:

    24 hours
  • Mode of Training:

    Facilitated Learning (F2F)
  • Venue:

    Singapore Polytechnic
  • Funding:

    Eligible for SkillsFuture Credit

The course will provide hands-on practical that focuses on Industrial AMRs platform, which allows the participants to immediately transfer their skills for an Industrial AMRs deployment in their application.

Course Objective

The course provides participants with understanding of Linux (Ubuntu) and advanced Robot Operating System (ROS) platform where they will learn how to integrate the ROS platform into Autonomous Mobile Robots (AMRs) deployment at industrial setup. Participants will learn various concepts of AMRs technologies such as mapping, localisation and navigation, including obstacle avoidance. They will be equipped with skills to integrate these technologies through the ROS platform.

Course Outline

By the end of the course, participants will be able to: 

• Integrate various AMRs technology through ROS
• Apply technologies such as Mapping, Navigation and Obstacle Avoidance with ROS
• Deploy the ROS system with physical AMR robots

Minimum Requirements

Basic competency in Linux OS and C++ or Python Programming

Certification / Accreditation

• Certificate of Attendance (electronic Certificate will be issued)
A Certificate of Attendance will be awarded to participants who meet at least 75% attendance rate

• Certificate of Completion (electronic Certificate will be issued)
A Certificate of Completion will be awarded to participants who pass the assessment and meet at least 75% attendance rate

Suitable for

Robotics Software Engineer, Robotics Engineer, Systems / Process Engineer, Application Engineer, Technical Manager / Lead

Course Fees


For more information on course fee / or to apply, click on the “Register” button.

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Application Procedure

1. Application must be made through STEP. Click on “Register” to apply.
2. All successful applicants will be notified with a letter of confirmation through email. 

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