SENTINEL-M

THE OPFOR ROBOT THAT SHOOTS BACK!

THE FUTURE OF LIVE FIRE TRAINING HAS ARRIVED

Realistic Live Fire Training Scenarios

TRAIN HARD FIGHT EASY

SENTINEL-M Delivers Improved Shooter Performance

NEXT GENERATION TRAINING

SENTINEL-M robotic target systems replicate the tactics of an OPFOR element in live fire training scenarios.

This unique robotic system provides instructors and commanders with a dynamic, realistic, and effective way to train soldiers or law enforcement for operational deployment.

SENTINEL-M will identify an armed threat and advance to engage, applying non-lethal force via its paint marker weapon.

SENTINEL-M is designed for open training area use as well as range and kill house training.

SENTINEL-M leverages Artificial Intelligence and dynamic behaviours to identify and engage blue force elements.

SENTINEL-M will identify an armed threat, if the SENTINEL-M is beyond the effective range of the marker, it will advance to close on its target and open fire as soon as in range.

 

SENTINEL-M SHOOTS BACK!

SENTINEL-M is patrolling an area pre-assigned during the scenario setup stage sentinel will continue to patrol this area until it detects an armed threat, once detected sentinel will pursue the threat and discharge its integrated Paint Marker System until the threat lays down its weapon.

If the SENTINEL-M units have been configured as a squad, then as previous the squad will follow a pre-planned path until one of them detects an armed threat and then it communicates the threat to the rest of the squad, at this point the squads will advance on the threat with the squad then splitting to form a base of fire team and a movement team, the fire base team will engage the blue force with its Paint Marker Weapon whilst the movement team outflanks the blue force.

All SENTINEL-M robots benefit from intelligent behaviours and share information such as location, threats, position and more with each other in a decentralised manner.

Hit metrics and video are fed back to C2 and HoloLens in real-time.

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