How IOP strengthens the interoperability of US military robots

Remotec, Northrop Grumman’s robotics subsidiary, has just unveiled a new robot for the security market, the Nomad. The UGV, which appears to be responsible for various missions in the U. S. military and various government agencies, including mine clearance. In addition to the impressive moving capabilities of this robotic platform, this robot stands out for its compatibility with the UGV Interoperability Profile (UGV IOP), a true standard of interoperability of American military robots.

With 74 kg on the scale, 90 cm in length, 58 cm wide and a load capacity of 15 kg on slopes up to 60°, the newest member of Remotec’s Andros robotics range seems to be relatively conventional, but its manufacturer, the robotics subsidiary of the military-industrial giant Northrop Grumman, has to prove its versatility. By displaying its compatibility with the IOP (Interoperability Profile), Nomad users will be able to exchange the robot’s payload and sensors for other missions.

IOP standardizes the U. S. Army UGV payload interfaces,
here on a Roboteam Probot.

Launched in early 2010, the IOP standardises the robot’s hardware interfaces in order to be able to change the payload, it also standardises data exchanges between the robot software and the payload, between the platform and the robot arm it is equipped with, for example. Over the years a version 2 of IOP has been released and a version 3 should follow and the main suppliers of mine-clearing robots such as Remotec but also RE2 Robotics (spin-off of iRobot) and Endeavor Robotics have joined, as well as the designers of transport robots such as Roboteam and its Probot.

Translation :


“Army Awards Unmanned Ground Robot Contract”, National Defense, 19 October 2017

“Company’s mid-sized Interoperability Profile-compliant unmanned ground vehicle offers affordability and versatility with extraordinary mobility”, Northrop-Grumman press release, 25 September 2017

“Military Robots Use Interoperability Profile for Mobile Arms”, Robotic Business Review, 14 July 2016

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