RoboFish

- Guinness World Record of "Fastest 50m swim by a robotic fish" in January 2020 -

Project leader: Timothy NG (BEng(ME)), Muhammad Saad Shahid Anwel (BEng(CE))
Supervisor: Dr WANG Zheng (Department of Mechanical Engineering)

Supporting Fund: Tam Wing Fan Innovation Wing

INTRODUCTION

This project is the first endeavour of BREED HKU, HKU’s first bio-inspired robotics organisation. RoboFish is our very own robotic fish, controlled by a Raspberry Pi and powered by a battery, aimed at helping us learn more about underwater biomechanics. Not only does the fish have a high speed potential, but the project also involves the study of how fish movements are affected by different variables such as turbulence and drag. This targets the analysis of marine biology and ecosystems. Our model has many applications for research and development in the academic world, such as surveillance systems and sea exploration.

Guinness World Record

Guinness World Record of "Fastest 50m swim by a robotic fish" in January 2020

Aim

This project aims to provide an opportunity to explore the field of biomechanics and biomimicry.

The current objective through this endeavor is to learn about the biomechanics of fish and other underwater organisms. The purpose is to understand how the movements are affected by different variables: speed, turbulence, drag, buoyancy. The model can be applied in survellance systems and the study of marine biology.

Hardware/Software

RoboFish is controlled by a raspberry pi and powered by a battery. Programming language used: C#. Coding in Unity.

Design

The goal is an ideal fish model mechanically designed to possess the following characteristics:

  • Streamlined body

  • Minimum drag

  • Low weight

  • Floating stability and buoyancy

Building RoboFish

Address:
Room 501, Haking Wong Building, 
Faculty of Engineering, 
The University of Hong Kong, 
Pokfulam Road, Hong Kong.

Emailenggugad@hku.hk

Tel: (852) 3917 2803

Fax: (852) 2546 9142

  • Facebook
  • YouTube

Copyright © 2020 Faculty of Engineering, The University of Hong Kong. All rights reserved.