Tag Archives: ARL

RedTail LiDAR Systems to Enhance EOD 3D Mapping Missions; Brad DeRoos Quoted

RedTail LiDAR Systems

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 may be used to enhance operations. The LiDAR technology will be used to improve the EOD Company’s 3D mapping, crater volume calculation, unmanned ground vehicle route planning, mission planning and surveillance capabilities.

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Army Develops Model to Enable Question-Based Robotic Learning; Felix Gervits Quoted

Robotic Learning

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 University under the Department of Defense's Laboratory University Collaboration Initiative (LUCI). The team will move the project forward by making the model understand more types of questions.

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Mathematician Bruce West Retires From Army Research Lab; Director Patrick Baker Quoted

Bruce West

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 physical, social and life sciences over a span of 50 years. The Army Research Office (ARO) held a ceremony at Research Triangle Park to honor West's service.

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Army Develops New Autonomy Software Through Collaborative Program; Brett Piekarski Quoted

Domain-Aware

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 algorithms, tools and methods that support autonomous navigation, the Army said Tuesday.

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Army Chief Scientist Philip Perconti to Step Down From Government Service

Philip Perconti

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 scientist, helped the service establish a science and technology strategy involving Army Futures Command.

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Military-Funded Research Creates Product to Stop Critical Bleeding; Joe Lichtenhan Quoted

StatBond

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 via deep wound entry and immediate suppression. The team also considers StatBond's potential as a treatment for eye injuries, lung punctures and other cases where fluid loss is a threat.

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Army Experiments With Adaptive Exoskeleton Tech; Cortney Bradford Quoted

Exoskeleton Tech

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 movement profiles that can be used to track an individual's state when using an exoskeleton, the Army said Tuesday.

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Army Researchers See Potential of Low-Cost Tech in Dynamic Threat Training; Eric Holder Quoted

Internet of Battlefield

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 support training and research at Fort Huachuca's Army Intelligence Center of Excellence and other military sites. These emitters simulate a battlefield with dynamic scenarios.

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Army Research Laboratory Demos Drone’s Autonomous Landing on Unmanned Ground Vehicle; Stephen Nogar Quoted

Internet of Battlefield

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 this landing approach without reliance on GPS systems. Nogar said GPS is easily disrupted, and therefore must not be relied on by unmanned aircraft.

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Army-Funded Academic Research Trials Machine Learning Approach to Correct Quantum Info Errors; Sara Gamble Quoted

Domain-Aware

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 self-learning and self-evolving functions can correct information used in quantum sensing and communications. This approach is designed to correct the distorted quantum information in photon-composed systems. 

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