Robotic Search and Rescue

Overview

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.

FREE DELIVERY

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

Background

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

Course Outline

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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

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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)