RedTail LiDAR Systems has delivered six LiDAR systems to the 707th Ordnance Company at Joint Base Lewis-McChord to provide an opportunity for its Explosive Ordnance Disposal technicians to assess how LiDAR systems
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The U.S. Army has created a computational model that enables robotic systems to learn from soldiers via conversational interaction. The service branch said Thursday it pursues this research in partnership with Tufts
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Bruce West, a senior research scientist for mathematics at the Army Research Laboratory (ARL), retired on June 29th after over two decades with the federal government. West has developed mathematical models for
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The U.S. Army has developed a set of software designed to help autonomous, robotic systems navigate and move through complex environments. The Scalable, Adaptive and Resilient Autonomy (SARA) program aims to develop
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Philip Perconti, deputy assistant secretary of the Army for research and technology, will step down and retire from government service, effective May 28th. Perconti, who also serves as the U.S. Army's chief
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The Defense Health Agency (DHS) funds an effort to develop new medical technology designed to prevent battlefield hemorrhages without the need for wound compression. The StatBond chemical product can stop blood outflows
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Army Research Laboratory (ARL) has launched an effort to study how autonomous exoskeleton technology can adapt to soldier users. The study aimed to identify brain and muscle signals, walking performance metrics and
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Army Research Laboratory (ARL) wants the service to use low-cost threat simulation technologies that train warfighters to address dynamic threats. ARL believes low-cost threat emitters can work with existing, similar technologies that
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Researchers with the U.S. Army developed and demonstrated a method through which unmanned aircraft systems may autonomously land on unmanned ground vehicles. The team from Army Research Laboratory (ARL) aimed to demonstrate
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A U.S. Army-supported research team from Louisiana State University has demonstrated the use of machine learning to correct errors found in quantum information systems. The research team tested how a neural network's
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