The Project

The S.A.R.T. is designed as a disposable, rapidly manufactured and cheap remote inspection vehicle that can be deployed in any situation where it is difficult or dangerous to send in human personnel. From search and rescue to disaster response to inspection of tunnels and pipelines, S.A.R.T. robots are equipped with arrays of sensors and cameras to report the situation to personnel on the scene.

Open Source

The S.A.R.T. project is completely open source. All our code and design files, as well as tutorials and useful information is available on our website, Github and Thingiverse. You can check out the downloads page here. By keeping the project open, we hope to faciliate the development of rapidly manufactured first response robots worldwide, contributing to the global goal of saving lives.

S.A.R.T Interface

The S.A.R.T robot is controlled via a dashboard called the S.A.R.T Interface. Features include multiple video streams, providing a 360° view, live sensor data including thermal imagery, direct access to the robot through SSH console, and much more. Users never have to access the S.A.R.T hardware directly – everything can be done within the interface. See the demo here!

Complete Documentation

We provide extensive documentation on all our design and construction processes when it comes to coding, modelling, building, and coming up with new ideas. You could build your own S.A.R.T simply using the information provided in our daily blog.

Also available is the comprehensive 2020 Q1 S.A.R.T. TDM.

The Future

We have many plans to expand the versatility of the S.A.R.T robot. We are creating a “base model” that other people can develop on top of thanks to our Open Source philosophy.

Awards & Recognition

We often enter our robots in competitions such as RoboCup. We have received awards and recognition for a number of achievements and advances.

  • Tied 1st Place – Rapidly Manufactured Rescue League, RoboCup 2016, Leipzig, Germany
  • 1st Place – Rapidly Manufactured Rescue League, RoboCup 2017, Nagoya, Japan
  • Open Source Award – Rapidly Manufactured Rescue League, RoboCup 2017, Nagoya, Japan
  • Open Source and Innovation Award – Rapidly Manufactured Rescue League, RoboCup 2018, Montréal, Canada


Diamond Sponsor

Silver Sponsors



S.A.R.T Mark IV

Drive System2x Dynamixel AX-18A Servo
Computational UnitNVIDIA Jetson Nano
Central ProcessorQuad-core ARM A57 @ 1.43 GHz
Onboard StoragemicroSD
RAM4 GB 64-bit LPDDR4
Camera System3x ELP 5MP HD USB Camera
1x Pimoroni MLX90640 Thermal Camera
Mapping SystemLDS-01 LIDAR Laser Distance Sensor
Additional SensorsAir Quality (VOC and eCO2), Temperature
Human CommunicationTwo-way Stereo Audio
Manipulator60 cm Arm & Claw, 4 Degrees of Freedom
Control SystemS.A.R.T. Interface (Keyboard, Controller)

S.A.R.T Mark III

Drive System4x Dynamixel AX-18A Servos
Computational UnitUDOO x86 Ultra
Central ProcessorIntel Pentium N3710 @ 2.56GHz x4
Onboard Storage32GB Integrated eMMC
Camera System4x ELP 5MP USB Camera, 1x Thermal Camera
Mapping System4x Adafruit VL53L0X Time-Of-Flight Sensor
Additional SensorsAir Quality (VOC and eCO2), Temperature
Human CommunicationTwo-way Audio
Control SystemS.A.R.T. Interface

S.A.R.T Mark II

Drive System4x Dynamixel AX-18A Servos
Computational UnitIntel NUC NUC5CPYH
Central ProcessorIntel Celeron N3050 @ 2.16GHz x2
Onboard Storage120GB SAMSUNG SSD
Camera SystemoCam 5MP USB 3.0 Camera
Mapping System4x SHARP GP2Y0A21YK0F Infared Sensor
Additional SensorsTemperature, Accelerometer, Compass
Human CommunicationText to Speech, Speech to Text
Control SystemS.A.R.T. Interface

S.A.R.T Mark I

Drive System4x Dynamixel AX-12A Servos
Computational UnitRaspberry Pi 3
Onboard Storage32GB SD
Camera SystemRaspberry Pi Camera Board
Control SystemPlayStation Controller

Our Team

S.A.R.T. Alumni

S.A.R.T. Development Blog


For years, power has always been something we have constantly been seeking to improve. Most robots and other remote/portable applications utilise LiPo batteries. While flexible and providing lots of power in a small package, LiPo batteries do have a lot... forward – powered by Dell Technologies

Moving away from the challenging year that 2020 was for us all, S.A.R.T. was very fortunate to get the opportunity to partner with Dell Technologies to power our efforts moving into 2021. As a part of our partnership, Dell have...

S.A.R.T. Through The Ages Part Trois: The Renaissance

It was July of 2016, and by our rough calculations we had about twelve months to develop a reliable robot for the competition the next year in Nagoya, Japan.  We briefly discussed developing the robot out of a new material,...

S.A.R.T. Through The Ages Part The Second: The Dark Ages

Alex had returned from China with a plethora of ideas for potential improvements to the platform we were developing on, including both the hardware and software side of the robot. Ryan and Jack began working on what would eventually become...

S.A.R.T. Through The Ages Part 1: The Medieval Era

Greetings, everyone.  It’s been a while since I wrote a blog, I don’t think I’ve posted a blog since I became a member of the esteemed club known as the S.A.R.T. Alumni. I thought, with the introduction of a generation...

S.A.R.T. Team Description Materials for Q1 2020

Authors: Connor Kneebone, Alexander Cavalli, Jack Williams, Matthew Williams, Graham Stock, Charlotte Drury, Anthony Gambale, Michael Cavalli, Nathaniel Kneebone, Martin Hosking, Alexander Thorning Published: 20th of March, 2020 Abstract The Semi-Autonomous Rescue Team (herein known as the S.A.R.T.) is a...
New wheel hub in Fusion 360

A ‘Wheely’ Good Day Pt. IV

The wheels we made for the Mark III robot did pretty well. The new polyurethane tires were excellent, they had plenty of grip, were basically indestructible and they maintained their grip over many hours of use. The hubs worked pretty...

Unwrapping Sensor Wrappers – Part 2: Graphs

The SIGHTS software suite is designed to be very extensible when it comes to adding new sensors to your robot. We achieve this by using special Python classes called sensor wrappers to collect sensor data, and JavaScript classes called Graphs...

Unwrapping Sensor Wrappers – Part 1: Sensors

The SIGHTS software suite is designed to be very extensible when it comes to adding new sensors to your robot. We achieve this by using special Python classes called sensor wrappers to collect sensor data, and JavaScript classes called Graphs...

A Blog Post About Two-Way Audio

A brief history of two-way audio In previous years, we have used a few methods to do two-way audio. Initially we had a speech to text and back again system to transmit data. Needless to say, this was quite limiting...

Make It Yours: Configuring SIGHTS Part 2 (Advanced Configuration)

In “Make It Yours: Configuring SIGHTS Part 1” I showed you how to configure a basic SIGHTS-based robot. In this, the second part, I’ll go over the more complex configuration of Interface and Sensors. The Simple Bits Ok, I lied....

Make It Yours: Configuring SIGHTS Part 1 (Basic Configuration)

The recently released SIGHTS (SART Integrated GUI and Host Teleoperation Service) software suite is designed to work with virtually any RMRC robot setup. However, with all that potential for customisation comes a lot of configuration. It can be daunting. Fortunately,...

SIGHTS Set On The Future

Here at S.A.R.T. we are proud to announce the release… of SIGHTS. No, it’s not a network of spy satellites. We aggressively forced the name for that sweet secret service-style acronym. It stands for “SART Integrated GUI and Host Teleoperation...

SART Hazmat Guide

Hi everyone, Anthony here to deliver a quick message. I decided to document everything I learned during last year’s RoboCup in the form of a tutorial, describing step by step how to recreate, from scratch, the hazmat detection functions of...

The Cops Get Involved

On the 16th of October 2019, the Australian Federal Police Bomb Response unit was called to the premises of SFX. Fortunately, it wasn’t because there was a threat of a LiPo fire (this time), but they were there to let...

Hazmat Part 3: Choosing the Class

Hey there, it’s Anthony, ready to bring an end to this epic trilogy of identifying hazmat signs. In this part we will cover how we solved the second half of the generic object detection problem (as detailed in the first...

RoboCup Rescue – Rapidly Manufactured Robot Challenge – Symposium

RMRC participants and organisers were invited to speak at the International Convention Centre Sydney for the 23rd annual RoboCup International Symposium. Dr Raymond Sheh (Founder, Committee), Archer Losely (Committee), Connor Kneebone (Participant), Graham Stock (Committee, Mentor), Joseph Lieber (Participant), Sam...

Hazmat Part 2: Isolating the Interest

Hi, it’s Anthony again. I’m here to make an addition to the first part of this series, which really belongs in that blog post, but it was getting too long, so I decided to make it into its own. If...