Sarcos Technology and Robotics Corporation announced the award of an expanded contract FA8750-22-C-1005 from the Air Force Research Laboratory AFRL for continued development of artificial intelligence -driven methods and techniques that autonomously control a Heterogeneous Sensing Network HSN . As part of the AFRL contract, Sarcos is developing a collaborative sensing solution that enables its Department of Defense or DoD partners to quickly, accurately, and safely identify, track, and classify time-critical objects using autonomous, heterogeneous sensor networks and AI to improve the operations, safety, data collection, and communication of autonomous platforms, such as Unmanned Aircraft Systems or UASs, and Unmanned Aerial Vehicles or UAVs. “Sarcos’ unique approach to reinforced learning and AI enables autonomous systems to work together more effectively,” said Dr. Peter Zulch, AFRL. “Sarcos utilizes advanced AI-driven methods and techniques to improve the operations, safety, data collection, and communication of our autonomous platforms.” The methods developed will harness the power of a myriad of sensor data to create more robust data sets that enable accurate autonomous operations in dynamic and unstructured environments, such as subsea operations and solar panel installations over diverse terrain, and the application for air force systems. The approach models how humans detect and adapt to their surroundings – using the multiple senses of sight, sound, and feel – to make real-time decisions and adjustments to operate effectively in real-world environments. “This continued work is
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