Autonomous Vehicles with Artificial Intelligence

Overview

In this program, students will have the opportunity to build their own automated vehicle (AV) in a Smart City stimulation environment. They will present solutions to future Smart City AV implications to demonstrate their critical thinking. Students will also nurture their problem-solving skills and growth mindset in a practical immersive learning environment which is essential for their personal development and future success. FlipRobot Introduction to Smart City Autonomous Driving course is offered to students to learn at home through online live delivery with our certified coaches.

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Certificate on Completion

Own the robotic hardware kit for continuous learning

Qualify to enter the international OneWorld Robotics Competition

Background Autonomous Vehicles with Artificial Intelligence

A smart city is a city that is better able to cope with the demands of an increasingly over-populated, more globalized world. A smart city is highly data-driven which demands world leaders to understand technology such as the Internet of Things (IoT), Artificial Intelligence, and the myriad of digital technologies now available.

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Background

This course is an introduction to automated vehicle technology in Smart City setting where students propose design solutions to address possible implications.
Students will use our FlipCode program to refine their technological hardware skills in navigating their vehicle to do basic movements through a predetermined route through a Smart City.
Students will guide their AV to follow between colour lines through a variable control boarding using FlipCode.
Through computational thinking, students will combine ultrasonic and IR sensors with manual program into one for the vehicle to successfully steer around obstacles.
Students will complete two challenges focusing on their technical and communication skills in an entrepreneurial environment designed to ignite their critical thinking.

Course Outline

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Course_Outline

Construct an autonomous vehicle solution design using Artificial Intelligence
Assemble robotic components and adjust through mechanical engineering of different hardware features
Apply computational and design thinking into practice
Critically evaluate the current A.I. technology to propose a viable design solution to a driverless vehicle related problem
Design a basic A.I. robotic scripts to control robotics movements using multiple coding platforms
Acquire knowledge to program and calibrate motors to control robotic manoeuvrability
Master their skills using FlipCode to control robotics movements in completing assembly lines
Embody the growth mindset principle into practice

Learning Outcomes

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Learning_Outcome

Course_Details

Age-group suitability: Years 5 to 8
Prerequisite requirements: None
Class format: Live online teaching via Zoom. Robotic assembly and coding by students at home. Interaction between teacher and students live online

System requirements:
- Windows 10 version 1809 and above (64 bits)
- If using ChromeOS, users will require to install the FlipRobot Chrome extension
- Support macOS but not iOS
- An Internet connection and an internet browser
- Zoom video conference application
- A computer with a camera, mic, speaker (or headphones)