Apply Autonomous Mobile Robots for Flexible Automation* (33 Hours)

*This is a non-WSQ module.
Apply Autonomous Mobile Robots for Flexible Automation
 

Introduction

Mobile robots have been popularly implemented in many commercial and industrial settings, such as logistics, healthcare services, marine, manufacturing, etc.  Many companies are planning to implement autonomous mobile robots to improve their industrial efficiency. With the development of computer science and sensory technology, various types of mobile robots have been designed and developed, such as Autonomous Guided Vehicles (AGVs), Autonomous Mobile Robots (AMRs) and Autonomous Forklifts. Different robots are designed for different tasks, so how to select and configure an appropriate robotic system to serve your application in your environmental setting is an important skill. Robotic engineers must be capable of understanding the robotic fundamentals, selecting the correct mobile robots, designing effective robotic systems, as well as planning their automation projects. This course aims to fill the gaps in knowledge and skills for the manufacturing industry in the areas of autonomous mobile robots.

About the Programme

The course aims to help participants understand and improve the ability from the following aspects:

  • Identify the hardware components in a mobile robotic system and their functionalities.
  • Identity and understand the sensors typically used in mobile robotic systems.
  • Learn the fundamentals of navigation, perception & control for mobile robotics, including its programming and simulation.
  • Understand the software modules in a robotic system.
  • Design your own autonomous robotic system according to the specified applications.
  • Know some real-life examples of mobile robotic systems in the industry.
  • Understand the common robotic systems, their typical industrial applications

Who Should Attend

The course is suitable for those who are currently employed or wish to be employed in robotics or industrial automation fields. A typical candidate profile could be:

  • R&D Engineers and/or Managers
  • Manufacturing Engineers
  • Robotic Integrators
  • Software Programmers
  • Automation Engineers
  • Industrial Design Engineers

What Our Trainee Says

Course Outline

The programme employs the Learn-Practise-Implement™ (LPI™) pedagogy with 4 learning areas that are aimed to increase the participants’ level of understanding of the fundamentals and skills of mobility robotic systems.

Key focus areas or applications:

  • Overview of mobile robotic systems
  • Introduction to sensing for mobile robotics
  • Introduction to the software framework of mobile robotic systems
  • Real-life applications of mobile robotics in industry and manufacturing

Upon Completion Of This Course

Participants will be awarded with a Certificate of Attendance (COA) by SIMTech and/or ARTC if they meet the following criteria:

  • Achieve at least 75% course attendance;
  • Take all assessments; and
  • Pass the course.

Note: Trainees will have to bear the full course fee upon failure to meet either one of the criteria.

Pre-Requisites

  • Applicants should possess a degree in any discipline or a diploma with a minimum of 3 years of related working experience.
  • Applicants who do not have the required academic qualifications are still welcome to apply, but shortlisted candidates may be required to attend an interview for special approval.
  • Proficiency in written and spoken English.

Full Course Fee

The full course fee for this course is $3,300 before funding and prevailing GST.

Nett Course Fee

International
Participants		 Singapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ Holders Employer-sponsored and self-sponsored Singapore Citizens aged 40 years and older (MCES) ² SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders) (ETSS) ¹
$3,597 $1079.10 $419.10 $419.10
All fees are inclusive of GST 9%.
Please note that fees and funding amounts are subject to change.
Long Term Visit Pass Plus (LTVP+) Holders

The Long Term Visit Pass Plus (LTVP+) scheme applies to lawful foreign spouses of Singapore Citizens with 
(i) at least one Singapore Citizen child or are expecting one from the marriage, or at least three years of marriage, and
(ii) where the Singapore Citizen sponsor is able to support the family.

All LTVP+ holders can be identified with their green visit pass cards, with the word 'PLUS' printed on the back of the card.
¹ Enhanced Training Support For Small & Medium Enterprise Scheme (ETSS)

The ¹Enhanced Training Support for Small & Medium Enterprises scheme (ETSS) supports company-sponsored participants with up to 90% course fee subsidies.  To qualify, both the employers and trainees must meet the following eligibility criteria.

  • Eligible Small & Medium Enterprises (SMEs) must meet all of the following conditions:
    • Registered or incorporated in Singapore
    • Employment size of not more than 200 employees, or annual sales turnover of not more than $100 million

  • SME-sponsored trainees must meet all of the following:
    • Singapore Citizen or Singapore Permanent Resident
    • Course fees are fully paid for by the employer
    • Trainee is not a full-time national serviceman
Further Information:
This scheme is intended for all organisations, including non-business entities not registered with ACRA, for example, Voluntary Welfare Organisations (VWOs), societies, etc. Only ministries, statutory boards, and other government agencies are NOT eligible under the Enhanced Training Support for SMEs Scheme. Sole proprietorships which meet all of the above criteria are also eligible.
² SkillsFuture Mid-Career Enhanced Subsidy (MCES)

The ²SkillsFuture Mid-Career Enhanced Subsidy (MCES) is meant for employer-sponsored and self-sponsored Singapore Citizens aged 40 years old and above.

Eligible Singapore Citizens can receive higher subsidies of up to 90% of course fees.
SkillsFuture Credit (SFC)

All Singapore Citizens aged 25 years old and above are eligible for SkillsFuture Credit (Opening Credit), which can be used to offset course fees (for self-sponsored registrations only).
SkillsFuture Credit (Mid-Career)

The SkillsFuture Credit (Mid-Career) is only applicable for the full A*STAR SkillsFuture Career Transition Programme (SCTP) enrolments, and cannot be used for standalone or individual module sign-ups.

How Course Fees are Calculated

TYPE CATEGORY OF INDIVIDUALS
International Participants  Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders Employer-sponsored and self-sponsored Singapore Citizens aged 40 years and above SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders)
FUNDING SOURCE
 Not applicable for Funding Support SkillsFuture Funding (Baseline) SkillsFuture Mid-career Enhanced Subsidy (MCES) ² SkillsFuture Enhanced Training Support for SMEs (ETSS) ¹
Full Course Fee $3,300  $3,300  $3,300 $3,300 
Funding Support Not Applicable   ($2,310) ($2,970) ($2,970)
Nett Course Fee $3,300  $990 $330 $330
GST 9% $297 $89.10* $89.10* $89.10*
Total Nett Course Fee Payable to Training Provider $3,597 $1079.10  $419.10  $419.10
* Based on 30% of Full Course Fee

About the Trainers

Mr Tijo Thayil
Dr Yan Shijun
Mr Tijo Thayil
Mr Tijo Thayil
Principal Research Engineer
A*STAR ARTC

Mr Tijo Thayil currently leads the Advanced Robotic Application activities at ARTC, as a Group Manager. The portfolio includes smart automation, intelligent robotics & software development for robotic industrialisation. With 16 years of experience in the R&D and industrial sectors, he has taken up various roles in organisations including the Nanyang Technological University (NTU), Singapore Institute of Manufacturing Technology (SIMTech), Rolls-Royce etc. Mr Tijo is a PMP-certified project management professional, and holds a Master’s Degree from the Nanyang Technological University. He is also a CPE-approved lecturer and teaches engineering diploma courses in Singapore CPE-approved institutes.

Dr Yan Shijun
Dr Yan Shijun
Senior Scientist
A*STAR ARTC

Dr Yan Shijun is an Advanced Development Senior Scientist for the Advanced Robotics Application Group with A*STAR ARTC. He received his PhD degree from the National University of Singapore (NUS) in 2015. For the past six years, Dr Yan has worked in the university and industry in the field of industrial and mobile robotics. His research topics include trajectory planning, navigation, SLAM and machine learning.

Registration

Sign up now

  • Please register for this course through our online form: Course Registration Form for Public Classes.
  • For the first question, please select "Modular Programmes (Standalone Modules".
  • Applicants will be placed on our waiting list if the course does not have an upcoming scheduled intake.
  • When the next intake is confirmed, a confirmation email with payment information will be sent to applicants to finalise their participation.

Collateral

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Apply Autonomous Mobile Robots for Flexible Automation

Contact Us

Technical and General Enquiries

Knowledge Transfer Office,
Email: KTO-enquiry@a-star.edu.sg

Schedule

Module
 Skills Course Reference Number Next Intake(s)' Training Period
(Click on the dates to view their schedules)		 Registration Status
  • Apply Autonomous Mobile Robots for Flexible Automation (33 hours)
 TGS-2023036121 The schedule for the next intake is still in the planning stage.  

Note: A*STAR SIMTech and A*STAR ARTC reserve the right to change the class/schedule/course fee or any details about the course without prior notice to the participants.

Announcement:

  • From 1 Oct 2023, attendance-taking for SWDA-approved/SWDA-funded courses must be done digitally via the Singpass App. More information may be viewed here.
  • Participants will be provided with digital course materials when attending our courses. Please note that printed copies will not be available.
Sessions
FD: Full day
AM: Morning
PM: Afternoon
EVE: Evening
 

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