Autonomous Robots & Vehicles
About This Course
The global market for mobile robotics is forecast to grow rapidly at CAGR of 15.6%, reaching US$30Billion by 2025. This growth will have a substantial transformative effect on most industry sectors, with numerous applications already being found in manufacturing, engineering, transportation, healthcare, retail etc. It is thus imperative to equip engineers and other professionals in Singapore with the knowledge and skills to design, develop and apply mobile robotic applications.
Self-driving cars are a popular example of an autonomous vehicle, an example that most people will be familiar with. Using autonomous driving technology as a reference for market potential and demand pertaining to autonomous vehicle and robots, a research made publicly available by Intel (conducted by Strategy Analytics) predicted autonomous driving technology to enable a new “Passenger Economy” worth $7 trillion. Sharing a similar positive outlook, a research by Frost & Sullivan in 2018 predicted the global autonomous driving market to grow up to $173.15 billion by 2030.
In Singapore, it was envisaged that driverless buses could be on the roads as early as 2020. There are also visible desires to increase utilisation of drones, autonomous vehicles and other autonomous technology across many sectors.
Aligned with the nationwide push for a Smart Nation, commercial and public organisations alike are actively commencing projects to design and trial smart systems in a control manner to assess feasibility based on a variety of use cases. A similar trend can be observed globally, with self-driving vehicles trials being conducted in various environments, other trials such as drones being using to transport organs for transplant and etc.
This course differs from other robotics courses as emphasis is placed on practical and hands-on learning,to ensure that the contents taught have relevance to real-life applications.
The main highlights of this course include: (a) having to apply state-of-the-art Hand Guiding technology on an OpenManipulator-X robotic arm, (b) having the opportunity to physically configure a ROS-enabled TurtleBot3 (that utilizes LIDAR technology and can be configured into an autonomous vehicle), and (c) having to configure an autonomous system that is a combination of the TurtleBot3 and the OpenManipulator-X robotic arm (as depicted below).
What You'll Learn
1. Introduction to autonomous systems
2. Applications
3. Use-cases
Module 2 : Holistic design approach for autonomous systems – Application of Systems Engineering concepts
1. Fundamentals of Systems Engineering in relevance to autonomous systems
2. Systematic, holistic design approach for autonomous systems
3. Workshop: Designing a use case for autonomous systems using a holistic design approach
Module 3 : Technical Fundamentals – Autonomous Vehicles & Robotics Technology
1. Understanding the general architecture of Autonomous Systems
2. Challenges faced while designing or developing Autonomous Systems
3. Other aspects of Autonomous Systems Design
4. Understanding the concept of technologies and system architectures that are involved in Autonomous Vehicles and Robots
5. Workshop: Assemble and program an autonomous robot arm
Module 4 : Standards/Technical Reference for autonomous vehicles
1. Sharing and elaboration on selected standards topics
-TR-68 (Singapore context)
-Other equivalent/relevant standards
Module 5 : Technical Fundamentals – In-depth Technologies and Basics of Simulation & Analysis for Autonomous Vehicles
1. Self-driving cars’ perception and decision-making
2. Basics of Simulation & Analysis
3. Workshop: Software simulation for autonomous vehicles
Module 6 : Developing Basic Autonomous Vehicle Systems
1. Automotive Basics
2. Step-by-Step guidelines on how to develop basic autonomous vehicle systems
3. Workshop: Develop basic autonomous vehicle systems
Module 7 : Developing an MVP (Minimum Viable Product) for your Organisation
1. Future of Autonomous Vehicles in Industry Transformation
2. Design Considerations
3. Development Process for Autonomous Robots and Vehicles
Final Written Assessment
Entry Requirements
Please see course weblink for more information