NUS
 
ISS
 

Robotic Systems


Discover the Power of Intelligent Robotic Systems

Overview

Reference No TGS-2020001472
Part of Graduate Certificate in Intelligent Robotic Systems
Duration 5 days
Course Time 9.00am - 5.00pm
Enquiry Please email ask-iss@nus.edu.sg for more details.

Are you ready to drive innovation and efficiency in your industry through advanced robotics?

In today's rapidly evolving technological landscape, robotics plays a pivotal role in driving innovation and efficiency across a multitude of industries, including healthcare, manufacturing, and defence. This 5-day intensive course is designed as the foundation for professionals seeking to learn specialised skills and knowledge in integrating and developing various components within intelligent robotic systems for a wide range of applications.

Participants will gain in-depth knowledge in areas such as autonomous behaviour, sensory operations, mobility, and path planning in robotics. By exploring these core concepts, they will gain a comprehensive understanding of how robotic systems can be leveraged to solve complex problems and enhance operational efficiency.

This course stands out from other robotics courses by emphasising practical and hands-on learning. The curriculum is designed to ensure that participants can directly apply their knowledge to real-life scenarios, making it highly relevant and applicable to their professional work. Through a series of workshops and assessments, learners will have the opportunity to experiment and refine their skills, solidifying their understanding of the material.

robotic


Course Content

  • Introduction to Integrated Robotics and Automated Systems: Gain foundational knowledge about the integration of robotics in various sectors.
  • Autonomous Behaviour in Integrated Systems: Learn about the principles and implementation of autonomous behaviours in robots.
  • Sensory Systems for Integrated Robotics: Explore the design and configuration of sensory systems to enhance robotic perception.
  • Locomotion in Integrated Robotic Systems: Understand the mechanics and control of robotic movement.
  • Path Planning and Navigation in Integrated Robotics: Delve into techniques for efficient path planning and navigation.
  • Soft Computing Techniques in Integrated Robotics: Discover the application of soft computing methods in developing intelligent robotic systems.

You will gain practical experience through scenario-based case studies and hands-on sessions using a ROS-enabled robotic system (as depicted below), providing a tangible understanding of robotic articulation and control. You will also develop skills in configuring sensory systems from scratch for the robotic system, enhancing its ability to interact with and perceive its environment.

This course is part of the Artificial Intelligence series and Graduate Certificate in Intelligent Robotic Systems Series offered by NUS-ISS.

RBS


Key Takeaways

 

  • Fundamental Understanding: Acquire a solid grasp of robotic systems technology and control, including autonomous behaviours, sensory systems, mobility computation, path planning, and state-of-the-art robotic behaviour approaches.
  • Practical Application: Apply hands-on critical analysis, evaluation, and synthesis to a wide range of robotic systems scenarios and problems.
  • Robust Systems: Build robust robotic systems for diverse applications such as defence and manufacturing.
robotic 2



    Who Should Attend

  • Engineering Professionals: Deepen your expertise in robotics.
  • Systems Specialists: Integrate robotics into your workflows.
  • Robotic Product Managers: Enhance your product development strategies.
  • R&D Professionals: Explore the latest advancements in robotic systems.



  • Prequisites

  • Competent in programming, preferably in Python
  • Autonomous Behavior
  • Robotic Sensory Systems
  • Robotic Locomotion
  • Robotic Pathway Planning
  • Fuzzy Behavior



  • Course Logistics

    • No Printed Materials: Course materials are accessed digitally. Do kindly note that no printed copies of course materials will be issued.
    • Device Requirements: Bring an internet-enabled device (laptop, tablet, etc) with power chargers to access and download course materials.
    If you are bringing a laptop, kindly refer to the table below for the recommended tech specs:

     

     

    Minimum

    Recommended

    Operating Systems

    • Windows 7 above
    • Mac OS

    Laptop running the latest
    version of either Windows or
    Mac OS

    System Type

    32-bit

    64-bit

    Memory

    8 GB RAM

    16+ GB RAM

    Hard Drive

    256 GB disk size

     

    Others

    • An internet connection – broadband wired or wireless
    • Installation permissions (non-company laptops)
    • Keyboard
    • Mouse/Trackpad
    • Display
    • Power adapter (laptop battery might run out)

    DirectX 10 graphics card for graphics hardware acceleration

     
     



    Fees & Subsidies

    Fees for 2024
      Full Fee Singaporeans & PRs
    (self-sponsored)
    Full course fee S$4500 S$4500
    ISS Subsidy  - (S$450)
    Nett course fee S$4500 S$4050
    9% GST on nett course fee S$405 S$364.50
    Total nett course fee payable, including GST S$4905 S$4414.50
    Note:
    1. All fees and subsidies are valid from January 2024, unless otherwise advised.
    2. All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees. For more information about SkillsFuture Credit, click here.
    3. From 1st January 2024, the GST will be increased to 9%.



    loading

    Certificate

    Certificate of Completion
    Participants have to meet a minimum attendance rate of 75% and are required to pass the assessment to be issued a Certificate of Completion.



    Join Us

    Elevate your robotics capabilities. Register now to transform theoretical knowledge into practical skills with real-world applications.




    Preparing for Your Course

    NUS-ISS Course Registration Terms and Conditions

    Find out more.

    NUS-ISS and Learner’s Commitment and Responsibilities

    Find out more.

    WIFI Access

    WIFI access will be made available to participants.

    Venue

    NUS-ISS
    25 Heng Mui Keng Terrace
    Singapore 119615

    Click HERE for directions to NUS-ISS

    In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.

    Course Confirmation

    All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.

    General Enquiry

    Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.




    Course Resources

    Develop your Career in the Following
    Training Roadmap(s)

    Please click on the discipline(s) to view the training roadmap of related courses to assess your training needs and goals.

    Artificial Intelligence

    Advance your business by harnessing artificial intelligence (AI) and deep machine learning

    Read More

    You Might be Interested in...

    A+
    A-
    Scrolltop