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Robotic Search and Rescue


In this course, students will utilise their computational thinking and engineering principles to navigate a series of challenges focused on aiding those in need. Students will propose innovative solutions to future societal issues like deep space search and rescue. They will nurture their problem-solving skill and growth mindset in a practical immersive learning environment which is essential for their personal development and future endeavours. FlipRobot Robotic Search and Rescue course is offered to students to learn at home through online live delivery with our certified coaches.

Certificate on Completion
Own the robotic hardware kit for continuous learning
Qualify to enter the international OneWorld Robotics Competition
Background on Robotic Search and Rescue

Source: CNN

Module 1

  • Search and Rescue Challenge Briefing 

  • Robotic Leg Assembly

  • Design the most efficient leg structure 

  • Obstacle Navigation Training 

  • Leg Assembly Modification Exercise 

Module 2

  • Ultrasonic Sensor Revision 

  • Ultrasonic Sensor programming with limb assembly 

  • Growth mindset through trial and error

  • Search and Rescue Challenge 1: Ultrasonic Sensor 

Module 3

  • Introduction to the Light Sensor 

  • Physical programming with the variable control board

  • Light sensor programming 

  • Search and Rescue Challenge 2: Light Sensor

Module 4

  • Search and Rescue Final Practical Challenge

  • Search and Rescue Presentation Challenge

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Course Outline
  • Construct a conceptual robotics design solution for a future search and rescue mission 

  • Design a basic algorithm logic flow

  • Assemble and adjust the vehicle through mechanical engineering using different hardware features and developing robotic leg structures

  • Apply computational and design thinking into practice

  • Critically evaluate the current search and rescue technology to propose a viable design solution to future search and rescue related problems

  • Acquire knowledge to program and calibrate motors to control the robot's mobility 

  • Learn to use variables to program ultrasonic and sensors cohesively to recognise light sources

  • Master their skills using FlipCode to control robotic movements and manoeuvre over obstacles 

  • Embody the growth mindset principle into practice

Learning Outcome
  • 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)

  • We will require a physical delivery address to send the FlipRobot hardware kit.

Course Details
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