Tristan Perez

Tristan believes that there is enormous potential for agricultural robots or AgBots to be combined with sensor networks and drones to provide a farmer with large amounts of data. When combined with mathematical models and novel statistical techniques (big data analytics) key information can be extracted for management decision, not only on when to apply herbicides, pesticides and fertilizers but how much to use.

Tristan Perez completed his Electronics Engineering degree (a 6-year program) at the National University of Rosario in Argentina in 1999 and his PhD in the area of control Engineering at the University of Newcastle, Australia, in 2003.

In July 2004, Tristan moved to Norway, where he spent three and a half years at the Norwegian University of Science and Technology (NTNU). He was a Senior Research Fellow at the CoE for Ships of Ocean Structures (CeSOS). At CeSOS, he conducted research on mathematical modelling of ship dynamics for manoeuvring in a seaway, ship roll stabilisation, and control allocation for ship dynamic positioning. Tristan was also a lecturer in marine control systems.

In 2007, he moved back to Australia to the ARC-CoE for Complex Dynamic Systems and Control (CDSC) at the University of Newcastle (UoN). At CDSC, he developed a research program on dynamics and motion control of marine and aerospace vehicles.

In 2010, Tristan was appointed Associate Professor of Mechatronics at the University of Newcastle (UoN), where he undertook the re-development of the BEng Mechatronics program and developed the laboratory for autonomous systems and robotics.

In 2014, Tristan was appointed Professor of Robotics at the School of Electrical Engineering & Computer Science at QUT where he is working on projects related to Agricultural robotics with the Australian Centre for Robotic Vision. He joined Boeing Research and Technology Australia in October 2018 as the Research Program Lead for Autonomous Systems.

Disciplines: Artificial Intelligence, Autonomous Systems,
Industries: Aerospace, Defence,