To eliminate this human element from critical but often tedious surveillance, robotics specialists at Agent Oriented Software (AOS) and Queensland University of Technology’s (QUT) Australian Research Council Centre of Excellence for Robotic Vision, teamed up for an innovative research project. A boost from the Defence Science Institute (DSI) through a Collaborative Research Grant helped the team develop its current prototype of an autonomous intelligent intruder tracking system named ‘eyeSight’.

AOS presented to the "Inspiration Sessions" SAP Worldwide User Group this week.

Today we ran our battery/electric platform that we will use to mount pedestrian and animal mannequins to create challenges for our Kelpie autonomous ground vehicle. These pedestrians and animals will cross into the path of the Kelpie, allowing us to evaluate its obstacle detection and collision avoidance performance.

AOS presents its iOPFOR AI-based live fire targetry system at the 2020 Virtual Special Operations Forces Industry Conference (vSOFIC).