Robotics and Automation (RAA)

Part of the ModularMaster in Technology and Management programme

Automation and Robotics involves the synergistic integration of mechatronics, control systems and information technologies to reduce the need for human work in the production of goods and services. In the scope of industrialization, automation is a step beyond mechanization and is crucial in transition to digitization as well as a technology platform to construct new businesses and entrepreneurial ventures.
This specially crafted hands-on program aims to spark intellectual curiosity and engage business leaders, senior executives and entrepreneurs with a broad inter-disciplinary training and practical experience in the field of automation and robotics.

Who Should Attend

The course is for business leaders, senior executives and entrepreneurs responsible for leveraging the possibilities created by digitalization and building innovation powerhouses within their companies.

We recommend the course for change managers, core strategy team members, business managers and product development managers. The course is suited to key functions like marketing, operations, IT, strategy, and general management.

Programme Outline

Learning Objectives and Structure

By the end of this course, learners can expect to:

Use mathematic tools to model and analysis systems and synthesise feedback controllers
Understand be able to design and analyse serial and parallel manipulators
Program and deploy robotic systems in Robot Operating System (ROS)
Understand and use fundamental concepts for contemporary robotics research and industry.
Be able to design a high-level structure of an arbitrary robotic system.
Understand the architecture of programmable industrial automation systems,
Get hands-on experience on the principles of developing functionality ox programmable automation using state machine models.
Understand and apply methods of software development based on state machine models.

Programme Structure: Participants will go through 4 days of training. Class will reconvene on the 5th day for a presentation as part of the course assessment.

Day 1

Mathematical Foundation (Differential Equations, Linear Algebra, Laplace Transform, Etc)
System Modelling
Dynamic Response
Stability
Automatic Controllers
Controller Tuning
Position and Velocity Control of DC Motor

Day 2

Kinematics and Dyanamics of Serial Manipulators
Kinematics and Dyanamics of Parallel Manipulators
Robot Operating System (ROS) Fundamentals and Hands On Operation

Day 3

Autonomous Mobile Robots - basic concepts
Mobile Robotic System General Structure
Robot Hardware - Mobility
Robot Hardware - Robot Sensing
Robot Hardware - Localisation
Robot Intelligence - Mapping
Robot Intelligence - SLAM
Robot Intelligence - Motion Planning
Robot Intelligence - Task Planning
Robot Fleet Management

Day 4

Automation systems - basic concepts
Computations in controllers
Different principles of automation application logic design
State based logic - basics
IEC 61499: main principles
State based logic - elevator use case
Implementation of state machines in IEC 61499 basic function blocks
State logic extensions

Day 5

Post-Assignment and Presentations

Assessment

Multiple methods of assessment are used to provide an opportunity for the participant to demonstrate their learning results with a variety of learning styles. These include:
• Pre-assignment due before class
• Class contribution
• In-session assignments (group work and presentations during the module)
• Take-home assignment after class

Subject Credits

Upon completion and satisfying the requirements of passing this course, learners will be awarded 12 subject credits.

Course Fees and Funding

Full course fee inclusive of prevailing GST	You pay S$6,758.00
SkillsFuture Course Fee subsidy (70%) For Singapore Citizens < 40 years old For Permanent Residents	You pay S$2,027.40
Mid-Career Enhanced Subsidy (90%) For Singapore Citizens ≥ 40 years old	You pay S$787.40
Enhanced Training Support for SMEs (90%) For SME - Sponsored employees	You pay S$787.40

The above module fee payable is inclusive of 9% GST.

Instructors

Foong Shaohui
Academy Fellow
Associate Professor, SUTD

Dr Foong Shaohui is an Associate Professor in the Engineering Product Development (EPD) pillar at the Singapore University of Technology and Design (SUTD) and was a Visiting Assistant Professor in the Department of Mechanical Engineering at the Massachusetts Institute of Technology (MIT) in 2011.

He is currently the principal investigator for the Aerial Innovation Research (AIR) Laboratory @ SUTD and has significant expertise in unmanned systems and robotics and works closely with the Ministry of Defence Singapore (MINDEF) on developing intelligent micro spherical ground robots (Project STARS) and nature inspired aerial crafts (Project MONOCO) which adapts the dispersal mechanism of maple seeds to achieve efficient flight.
Read more

Assistant Professor Tomasz Piotr Kucner
Aalto University

His research and teaching interests are focused on the problems related to the safe and robust navigation of autonomous robots in challenging environments. He is especially interested in solutions assuring safety while not jeopardizing efficiency. Over the span of his research career, he has taken part in multiple research projects where he has been actively collaborating with industrial partners across Europe (i.e., BOSCH, Kollmorgen, Electrolux, Volvo CE, NCC). His key research expertise lies in the areas, of spatial models of dynamics, map quality assessment and localization quality monitoring. He is also actively working in the areas of standardization and is currently vice-chair of two working groups within the IEEE Standardization Association.

Professor Valeriy Vyatkin
Aalto University

Dr Vyatkin is Professor of Information and Computer Engineering in Automation at Aalto University, Finland on joint appointment as Chaired Professor (Ämnesföreträdare) of Dependable Computation and Communication Systems, Luleå University of Technology, Luleå, Sweden. He has been leading research projects related to software and systems engineering for cyber-physical automation systems, intelligent energy, logistics and transportation, addressing such aspects as dependability, distributed architectures and multi-agent systems applied in various industry sectors: SmartGrid, material handling, building management systems and reconfigurable manufacturing, funded by the National Science Foundation (USA), Vettenskap Råd(Sweden), Academy of Sciences (Finland), various national and private agencies in Japan, Germany, New Zealand, Sweden, Finland and the EU. Valeriy is an active IEEE volunteer for about 20 years, IEEE Fellow, currently serving as Vice-President for Technical Activities of Industrial Electronics Society.

Policies and Financing Options

SSG Funding Terms and Conditions

Use of Personal Details

In consideration of the subsidy provided by SkillsFuture Singapore Agency (“SSG”) through the SUTD Academy for the Course,

I consent to:

The collection, use and disclosure to relevant third parties of my personal data by the SUTD Academy including but not limited to personal particulars, attendance records, assessment/performance records, for the following purposes:

Reporting of national statistics and conducting of holistic continuing education training research and analysis;
Facilitate the conduct of the relevant surveys and audits in relation to the Course;
General administration of the Course including but not limited to processing of the subsidy provided by SSG;
Publicity and marketing of the Course or other Courses to be provided by SSG or SUTD Academy; and
SSG or its Appointed Auditors or Nominated Representatives to directly contact Course Participant to obtain information deemed necessary for the purposes of conducting effectiveness survey or audits in relation to the Course.

SUTD will have to claim the full course fee from participant who is unable to fulfil the SSG funding requirements stated below.

I agree to:

Attend and complete all lectures, class exercises, workshops and assessments;
Complete the Course feedback at the end of the Course;
Complete the post Course survey sent about 3 to 6 months after class attendance; and
Sign up for a personal email account.

SUTD Privacy Statement

For more information on SUTD's privacy statement, please visit https://sutd.edu.sg/Privacy-Statement.

SUTD Terms and Conditions

Methods of Payment

Learn more about the available payment modes.

Cancellation & Refund Policy

If a written notification is sent to sutd_academy@sutd.edu.sg within 24 hours after course registration deadline there will be no cancellation charges. A full refund will be made.
No refund is provided if written notification is more than 24 hours after course registration deadline. SUTD Academy reserves the rights to collect the full fee amount from the participant.

Replacement Policy

Companies may replace participants who have signed up for the course by giving a 3-working day notice before the course commencement date to sutd_academy@sutd.edu.sg. Terms and conditions apply.

Registration Policy

Course may be cancelled due to insufficient participants. SUTD Academy will not be responsible or liable in any way for any claims, damages, losses, expenses, costs or liabilities whatsoever (including, without limitation, any direct or indirect damages for loss of profits, business interruption or loss of information) resulting or arising directly or indirectly from any course cancellation.
Course enrolment is based on a first-come, first-served basis.
SUTD Academy reserves the right to change or cancel any course or instructor due to unforeseen circumstances.

Types of Funding

Funding under Mid-Career Enhanced Subsidy ("MCES")

MCES is an enhanced Subsidy to encourage mid-career individuals to upskill and reskill, thereby helping them to remain competitive and resilient in the job market. With this, all Singaporeans aged 40 and above will receive higher subsidies of up to 90% course fee subsidy for SSG-funded certifiable courses.
Individuals/employers are not required to submit an application for the MCES. Those pursuing SSG-funded programmes will be charged the appropriate subsidised fees by SUTD Academy if they are eligible MCES. Individuals/employers will only need to pay the nett fee (full course fee after SSG's grant).

For more info, please visit SkillsFuture website at https://www.skillsfuture.gov.sg/enhancedsubsidy

Funding under Enhanced Training Support for SMEs ("ETSS")

ETSS is an enhanced funding to enable SMEs to send their employees for training.
SMEs will enjoy subsidies of up to 90% of the course fees when they sponsor their employees for SSG-funded certifiable courses.
In addition to higher course fee funding, SMEs can also claim absentee payroll funding of 80% of basic hourly salary at a higher cap of $7.50 per hour. SMEs may apply for the absentee payroll via the SkillsConnect system.
To qualify, SMEs must meet all of the following criteria:
- Organisation must be registered or incorporated in Singapore
- Employment size of not more than 200 or with annual sales turnover of not more than $100 million
- Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
- Trainees must be Singapore Citizens or Singapore Permanent Residents

For more info, please visit SSG website at https://www.ssg.gov.sg/programmes-and-initiatives/funding/enhanced-training-support-for-smes1.html

Funding under Union Training Assistance Programme ("UTAP")

UTAP is a training benefit for NTUC members to defray their cost of training. This benefit is to encourage more union members to go for skills upgrading.

NTUC members enjoy 50% unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP (Union Training Assistance Programme).

For more info, please visit https://e2i.com.sg/individuals/ntuc-education-and-training-fund/.