Overview
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.
This 5 day course emphasise on practical and hands-on learning to ensure that the contents taught have relevance to real-life applications.
Course Description & Learning Outcomes
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. This course is part of the Artificial Intelligence series and Graduate Certificate in Intelligent Robotic Systems Series offered by NUS-ISS. At the end of the course, participants will be able to: - Holistically design approaches for autonomous systems - Learn technical fundamentals and standards in autonomous systems - Perform software simulation for autonomous vehicles - Assemble and program basic autonomous systems - Identify suitable tools and techniques to facilitate system integration and interoperability of components - Evaluate technical considerations, feasibility and implications of integrating multiple systems and components according to the integration strategy - Design a minimum viable product roadmap plan based on envisioned need and design
Recommended Prerequisites
- Participants should be familiar with some Python and/or C programming. - Participants should be familiar with some fundamental knowledge of robotics. Participants new to robotics may consider attending Robotics Systems
Pre-course instructions
- No printed copies of course materials are issued. - Participants must bring their internet-enabled computing device (laptops, tablet etc) with power charger to access and download course materials. Registration close date: 30/10/2023
Schedule
Date: 20 Nov 2023, Monday
Time: 9:00 AM - 5:00 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: NUS-ISS, 25 Heng Mui Keng Terrace, 119615
Date: 21 Nov 2023, Tuesday
Time: 9:00 AM - 5:00 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: NUS-ISS, 25 Heng Mui Keng Terrace, 119615
Date: 22 Nov 2023, Wednesday
Time: 9:00 AM - 5:00 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: NUS-ISS, 25 Heng Mui Keng Terrace, 119615
Date: 23 Nov 2023, Thursday
Time: 9:00 AM - 5:00 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: NUS-ISS, 25 Heng Mui Keng Terrace, 119615
Date: 24 Nov 2023, Friday
Time: 9:00 AM - 5:00 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: NUS-ISS, 25 Heng Mui Keng Terrace, 119615