David has an idea
Countering Improvised Explosive Devices and Explosive Ordnance in support of manoeuvre is a labour intensive and risky task. This task involves time on target for technicians who are a highly trained, critical capability. Current remediation methods are labour intensive, and current in-service mechanical and robotic aids are dumb robots requiring human control for all of their functions.
Incorporating autonomous systems with machine learning could provide a capability to sense and identify Explosive Ordnance, and reduce cognitive load for technicians thus increasing tempo in support of manoeuvre.
See full idea pitch here: #DEFAus19 Idea Pitch – EOD Machine Learning Autonomous Systems
Join the @DEF_Aus conversation on Twitter by following #DEFAus19.
#DEFAUS19 is being held in Canberra from 30 Sep – 01 Oct 19. Registration, FAQs and pitch guidance can be found here.