Australian scientists from the Sydney University of Technology have developed a system that will allow robotic systems to be controlled by the power of thought. This was reported by the Defense One publication, citing a scientific paper by scientists from UTS. According to Australian researchers working with the country’s Ministry of Defense, the subject guided the ground robot to waypoints by visualizing it in his head through the Microsoft HoloLens augmented reality system.

The invention will allow humans to control robotic systems with their thoughts, which could help the military interact with a wide variety of sensors, vehicles and robots on the battlefield.

The Australian military is collaborating with researchers on the project and tested the system before the paper was published. In the video, they describe a successful experiment. During the second demonstration, the commander instructed the robots and crew members to survey the area. The soldiers watched the robot’s video stream through a HoloLens headset.

“This is a very good idea, it may come true in the future.“Australian Army Lieutenant Colonel Kate Tollenaar says in the video.”We are very happy to observe and work on the development of technology… use cases»

Previously, such chips had to be surgically implanted. And skin-worn sensors often required gels for better electrical conductivity, which didn’t quite work in real-world conditions for soldiers wearing helmets.

“Our dry sensors are easy to transport. They work in a lifelike environment, users can move around while using the system”— pay attention to the authors of the scientific article.

Australian Army soldier Sergeant Rana Chandan, right, 1/15. Photograph: Sergeant Matthew Bickerton. Graphene-based sensors developed by the researchers work well in real-world conditions. Researchers combined them with Microsoft’s HoloLens augmented reality system.

When the user looked around with the HoloLens, his brain sent a signal from the occipital lobe. These signals were collected by the sensor and passed through a small Raspberry Pi 4B computer; this computer translated the signals into instructions for a particular waypoint corresponding to the location. Those instructions went to Ghost Robotics’ Q-UGVs robot who got the point.