space

The sky’s the limit: AIML works with local company to clear earth's orbit

May 19 2025

Space debris is a huge issue that presents a growing risk to the sustainability of earth’s orbital environment. Defunct satellites, spent rocket components, and other types of debris now number in the tens of thousands, and traveling at speeds exceeding 28,000 km/h, even millimetre-sized objects can cause significant damage to operational satellites or pose a threat to crewed missions.

‘A new way of ‘doing space:’ AIML-supported Space MAITRI mission part of historic launch agreement

September 19 2024

Earlier this year, Space Machines Company, an �Ӱ�ֱ��n-Indian in-space servicing firm, signed a landmark Launch Service Agreement with NewSpace India Limited (NSIL), the commercial arm of the Indian Space Research Organisation (ISRO).

AIML professor convenes world-class thinkers to bring AI to new heights

July 16 2024

The space sector is experiencing significant growth, both in �Ӱ�ֱ�� and globally. An April 2024 McKinsey and Company report estimates that the global space economy will be worth $1.8 trillion by 2035 (accounting for inflation), up from $630 billion in 2023.

Award winning space AI

September 08 2022

AIML PhD candidate Sofia McLeod is researching ways to build an AI system that can safely land an autonomous spacecraft on a distant planetary or asteroid surface guided by visual input from a single event camera.

AI for space research delivers back-to-back success in global satellite challenge

April 14 2022

South �Ӱ�ֱ��’s leadership in space innovation has been recognised, with an AIML-led team securing first place in a global AI competition organised by the European Space Agency.

‘Set and forget’ machine learning delivers NASA prize-winning space innovation

October 08 2021

If you send a robot to the Moon, you’ve got to be sure it can do its job without constant human supervision.

How astrophysics and machine learning took Michele Sasdelli from Germany to England to NASA to Adelaide

March 02 2021

Keeping track of space debris is difficult. Read how Dr Michele (Mike) Sasdelli is using machine learning to model the movement of space junk and other objects in Earth's orbit.

AIML scientists were part of a winning team in NASA’s global space robotics competition. Here’s why they got involved

February 01 2021

A group from The �Ӱ�ֱ�� of Adelaide was recently named as one of only 22 global teams to qualify for the Stage 2 competition round of the Space Robotics Challenge run by NASA in partnership with Space Center Houston.

Getting junk out of space

March 19 2020

A crack �Ӱ�ֱ��n team is using machine learning to tackle the threat of space junk wrecking new satellites.

Dr Chin finalist in �Ӱ�ֱ��n Space Awards

February 11 2020

Associate Professor Tat-Jun Chin (Director, Machine Learning for Space) as been announced as a finalist for the inaugural �Ӱ�ֱ��n Space Awards, in the Academic of the Year category.