Team Ausdroid
Ausdroid

Who we
are.

Team Ausdroid is the University of Melbourne's competitive robotics club. Founded in 2018, we bring together students from engineering, science, and computer science to design, build, and compete with autonomous robots at an international level.

Learning by doing

We believe the best way to understand robotics is to build things that have to work in the real world. Members form cross-functional teams — hardware engineers, software developers, and researchers — tackling genuine engineering challenges together.

Competition forces rigour. Our robots have to perform under pressure at events judged by the global robotics community, which sets a standard that classroom projects rarely reach.

Weekly technical workshops for all skill levels
International competition participation
Field tests and live robot demonstrations
University Open Day presence every year
Technical reading groups — hardware and software
Mentorship from PhD and MPhil researchers

What drives us

01

Competition

We compete in ICRA AI Challenge, RoboMaster, and MathWorks Minidrone — pushing our systems against the world's best.

02

Research

From computer vision to legged locomotion, our members work on problems at the frontier of autonomous robotics.

03

Community

Weekly workshops, field tests, reading groups and social events make Ausdroid a place to learn fast and meet great people.

04

Industry

Mentorship from PhD researchers, connections to industry partners, and sponsorship relationships that support our work.

Where we compete

IEEE / ICRA

ICRA AI Challenge

Finalist 2018 · 3rd Place 2019

Annual autonomous rover challenge at the world's largest robotics conference. Teams design fully autonomous ground robots to compete in combat scenarios.

DJI

RoboMaster University Series

Participated 2021

Full-scale robot combat requiring deep integration of hardware, software and real-time strategy. One of the most technically demanding student competitions in the world.

MathWorks

Minidrone Competition

Participated 2021

MATLAB Simulink-based autonomous drone challenge focused on path recognition and planning algorithms.

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