An Australian Centre for Field Robotics (ACFR) team led by Professor Salah Sukkarieh will advance the intelligence of future moon and Mars resource mapping and soil sampling robots, giving robots the ability to adapt their paths and positions in real-time.
As part of the DINGO (Drilling, Inference, and Navigation for Geological Operations) project, the researchers will design and test AI machine learning algorithms and sampling tools to demonstrate adaptive and energy efficient navigation. With this technology, a robot will be able to build intelligence over its path and adapt its plan in real-time.
These capabilities will initially be demonstrated on existing robots, such as the agricultural roaming Swagbot, with the ultimate aim of deploying algorithms and sampling systems on future lunar missions. They could potentially support the NASA Moon to Mars Program, via the Australian Space Agency.
“DINGO will advance autonomous rover operations, allowing space robots to cleverly navigate terrains on the moon and Mars,” said DINGO Program Manager Khalid Rafique.
“We can’t simply deploy an Earth-based robotic systems on the moon. Our technology will teach robots to navigate complex atmospheric and terrestrial conditions,” he said.
Professor Sukarrieh said autonomous robots and terrestrial exploration are gaining momentum. He said, “This is an exciting area of research which is set to redefine our understanding of autonomous rover operations on the moon and Mars.”
Robotic sensors to aid NASA operations
School of Aerospace, Mechanical and Mechatronic space expert, Dr Xiaofeng Wu, will work with Australian AI and robotics company Abyss Solutions on a space-borne robotic inspection and intervention project. The project will deliver next-generation technology for the? future NASA mission to the moon and beyond.
This Article firstly Publish on www.sydney.edu.au