Robotics and Autonomous Systems

Our Projects

Latest Updates

GPGPU Cost Function Generation on a Non-Empty 3D Occupancy Volume

6th April 2013

A simulation of a GPU based cost-to-go function generator for 3D occupancy volumes. The volume is mapped to a 2D occupancy grid in a raster layout. (Please note this is only a simulation. The GPU based implementation of this algorithm completes evaluation in sub 20ms times).

UNSW Autonomous Seeder for Broad Acre Crops

9th January 2013

This video shows the operation of a prototype of a fully Autonomous Seeder for broad acre crops developed at the School of Mechanical & Manufacturing Engineering of the University of New South Wales, in Sydney, Australia. The system was developed by a team lead by A/Prof. Jay Katupitiya.

Our Vision
Industry and Consulting
Prospective Students

Autonomous Aerial Vehicle

Vision

Our vision is to develop persistently autonomous and robust, heterogeneous vehicle systems that are capable of successfully collaborating in achieving a set mission, while demonstrating resilience to unforeseen circumstances. We thrive to carry out applied robotics research to help us advance towards achieving our goal.

Industry Partnerships

UNSW is one of the leading research intensive universities in the Asia Pacific region with world class expertise, facilities and infrastructure in professional and scientific fields. Engagement and linkage with external partners from industry, government and other organisations is fundamental to our mission. Funding agencies include ARC's Discovery and Linkage programs and other nationally competitive industry funding agencies such as Grains Research and Development Corporation (GRDC) of Australia as well as international collaborations.

Please contact us for more information regarding research partnerships.

Information for Prospective Students

The Mechatronic Engineering program at The University of New South Wales provides one of the most diverse learning experiences in a university environment by engaging its students in cross-disciplinary study. The traditional areas of computing, control systems and electronics complement the strongly mechanical engineering based machine design knowledge. The synergy generated through the integration of knowledge from these diverse disciplines enables the Mechatronic Engineering students to acquire the skills necessary to develop intelligent machines ranging from small robotic systems to large scale autonomous systems.

Research interests of the staff at UNSW include autonomous vehicles, agricultural robotics, mobile robot navigation, multi-vehicle coordination and factory automation. The highly qualified academic staff is ably supported by a team of professional officers with vast knowledge and experience and are able to answer a wide range of questions. Several well maintained laboratories provide facilities for assisting coursework, thesis and postgraduate students.