Researchers developed an algorithm that allows robots to improve navigation systems by watching a human drive, enabling them to navigate more quickly and with fewer failures. This approach uses machine learning from demonstration, leveraging the expertise of soldiers in training environments.
Researchers create analysis framework to evaluate tradeoffs and design choices in ultraviolet communication systems, offering insights into their natural low-probability-of-detection property. This understanding is crucial for optimizing system performance and predicting detection capabilities.
The U.S. Army has developed a reinforcement learning approach that enables swarms of unmanned aerial and ground vehicles to accomplish various missions while minimizing performance uncertainty. This allows for efficient execution of time-consuming or dangerous tasks, enhancing warfighters' tactical situational awareness.
Researchers confirmed a theory that networks of no more than 150 are optimal for internally sharing information, a concept proposed by British anthropologist Robin Dunbar in the 1990s. Understanding this 'Dunbar Number' is crucial for training teams and forming cohesive groups.
Researchers at MIT and Sandia National Laboratories have developed a hybrid approach to fabricate large-scale quantum chips using diamond-based qubits and quantum photonics. The new method enables the creation of complex quantum devices with reliable circuits for transmitting and manipulating quantum information.
Researchers created a self-healing polymer that can repair itself in one second, while retaining its original strength, and is also biodegradable and recyclable. The material mimics the squid's ability to heal itself in nature, with potential applications for robotic machines, prosthetic legs, and personal protective equipment.
Researchers developed a new aluminum panel that concentrates solar energy to evaporate and purify contaminated water, reducing contaminants to safe levels for drinking. The technology uses a burst of laser pulses to etch the surface of aluminum, creating a super-wicking and light-absorbing surface that can efficiently purify water.
Army researchers have developed a new way to protect and safeguard quantum information, allowing for more efficient and secure communication. By understanding and removing certain types of noise in quantum channels, the team can convert bad noise into good noise with the addition of a cheap extra component.
The US Army has made significant advancements in quantum networking research, which will play a crucial role in future battlefield operations. The researchers have developed a system that can send information quantum-mechanically between nodes without occupying the linking channel.
New research enables structural optimization of Future Vertical Lift vehicles, allowing for morphing capabilities during flight. This reduces computational cost by up to 80% while maintaining accuracy.
Researchers at the U.S. Army Research Laboratory have developed a unique material design inspired by the human brain's neural structure for brain-like computations. This design strategy promises orders of magnitude reductions in power consumption, suitable for complex data classification and processing.
Scientists from the U.S. Army Combat Capabilities Development Command's Army Research Laboratory have improved distributed algorithms for multi-agent coordination, enabling better situational awareness and communication capabilities for Soldiers in limited bandwidth scenarios.
Researchers studied neurocognitive temporal training and its impact on Soldier performance, including improved marksmanship precision and reduced variability. The interactive metronome device was used to train Soldiers and measure their timing and rhythm abilities.
A new radio-frequency switch developed by US Army-funded researchers has achieved 50 times more energy efficiency than current components. The switch enables devices to stream HD media faster and retain battery life.
Researchers have successfully modified brain activity using non-invasive techniques and characterized its dynamics. The study provides foundational knowledge for future technologies that may expedite cognitive processes and enable adaptive teaming neurotechnologies.
Researchers at Georgia Institute of Technology developed a new robot rover, the Mini Rover, that can climb sand-covered hills and avoid getting stuck. The rover uses a unique gait that combines paddling, walking, and wheel spinning motions to create a robust and adaptable locomotion system.
The U.S. Army Research Laboratory has developed a novel parallel computing framework, GPOP, to process large graphs and data efficiently, making it ideal for DOD security analysis and applications such as terrorist-tracking and bioinformatics.
Researchers discovered that microorganisms change the nature of rock they occupy by extracting water, causing a phase transformation. This finding has implications for life support systems and biomanufacturing in extreme environments.
Researchers have confirmed a method for developing photonic circuits with optical nonlinearities that can function at room temperature. This approach could lead to more efficient and powerful quantum computers, bypassing the need for extremely cold temperatures.
A US Army-funded project is using game theory to identify strategies for encouraging protective COVID-19 behaviors. The researchers aim to understand how individual and community-level decisions affect compliance with orders and recommendations.
Army researchers have developed a new electrolyte design for lithium-ion batteries that improves anode capacity by more than five times compared to traditional methods. The new design increases the number of possible cycles with little degradation, extending the lifespan of next-generation lithium-ion batteries.
Researchers found that pupil features correlate with cognitive processes involved in mental arithmetic and decision-making. The study used pupil-tracking technology to measure changes in pupil size over time, revealing two distinct influences: a rapid, transient effect and a longer-lasting, sustained influence.
Researchers developed a new design to reduce energy loss in optical fiber communications by radiating light in a single direction. This breakthrough has the potential to improve data communications for commercial data centers and enable battery-powered photonic computers.
The US Army has developed a new type of multi-polymer filament for 3D printing, allowing for the production of high-strength parts at an affordable cost. This breakthrough enables the use of simple printers to create parts with mechanical properties competitive with injection-molded plastics.
Researchers discovered that bosons can transform into fermions when constrained to a one-dimensional gas, enabling new insights for quantum devices and computers. This breakthrough could provide a method for dynamically switching between bosonic and fermionic systems to meet military needs.
Researchers have found that polymers filled with carbon nanotubes could potentially improve how unmanned vehicles dissipate energy. These materials are also less susceptible to corrosion, lightweight, and have higher electrical conductivity than traditional elastomers.
A new mathematical model, developed by researchers at Carnegie Mellon University and Princeton University, uses information theory to improve epidemiological predictions. The model takes into account the evolutionary changes of both disease and information, allowing for more accurate predictions of epidemic spread.
Researchers have developed a novel approach for quantum error correction that can mitigate certain types of random fluctuations, enabling the creation of more efficient quantum computers and sensors. By targeting specific noise sources, this method could significantly improve the performance of quantum systems.
A team of researchers has identified a novel cybersecurity approach called SymTCP to enhance the effectiveness and timeliness of protection against attacks on Army systems. The approach uses symbolic execution to explore the state of TCP implementation and identify ways to reach critical points in the code.
A new tool, designed for both planning and operation phases, aims to optimize evacuation routes and supply logistics in near-real time. Researchers focus on noncombatant evacuation operations in the Republic of Korea, but it can be applied to various scenarios.
The U.S. Army Research Laboratory has developed new materials and manufacturing methods to create higher performing helmet padding that reduces the likelihood of head injury. The new padding consists of highly-tuned open-cell lattice structures, demonstrating a 27% increase in energy attenuation efficiency compared to existing foam pads.
Army researchers developed a new algorithm that enables collaborative and communication-efficient deep learning, reducing the need for centralized data pooling. The algorithm decreases communication overhead by up to 70% without sacrificing performance accuracy or learning rate.
Researchers at the U.S. Army Combat Capabilities Development Command developed a new approach to analyze tribological response between steel and silicon nitride during high-speed sliding tests. The study found that frictional heating induces chemical reactions leading to lubricating thin films, reducing wear and friction.
Researchers at University of Michigan developed nanoscale thermal switches that can control the flow of heat at the nanoscale. This discovery has the potential to revolutionize thermal management in devices such as transistors and diodes.
Researchers created a field-effect transistor with a diameter of two nanometers using tellurium and boron nitride nanotubes. The material's unique structure allows for smaller transistors, which could lead to faster computing and reduced power consumption.
Researchers use liquid secondary ion mass spectrometry to monitor chemical reactions in battery interface, revealing key findings on SEI formation and its impact on battery performance. Understanding the chemistry of the solid-electrolyte-interphase (SEI) holds the key to unlocking future better batteries.
Researchers have discovered that the glymphatic system goes awry during a stroke, promoting brain cell drowning and swelling. This finding may lead to novel interventions to reduce stroke severity and improve outcomes.
Researchers have created an algorithm to simulate electromagnetic wave interactions with materials, reducing simulation time from months to hours. This breakthrough could lead to more efficient and accurate equipment in fields like biology, astronomy, and telecommunications.
A US Army Research Laboratory team developed new algorithms to integrate context into artificial intelligence, advancing robotics and AI processes in areas like natural language communication and world model development. The research supports the Next Generation Combat Vehicle by integrating context-driven AI within human-autonomy teams.
A new Army-funded project has successfully developed a carbon nanotube technology that exceeds 100GHz in radio frequency applications, surpassing traditional RF-CMOS technology. This breakthrough could enable faster and more efficient communication systems for the military.
Researchers have developed a process to create synthetic polymers with precision of biology, enabling the production of advanced materials such as nanoelectronics, self-healing materials, and fuel cells. This breakthrough could lead to improved personal protective gear and sophisticated electronics for Soldiers.
A US Army researcher has found that cultural cues can mitigate bias against humans and machines in human-machine interaction, promoting effective cooperation. By associating positive social groups with machines and emotional expressions, biases can be overcome.
The U.S. Army's foundational research program has led to advancements in four critical areas of ground combat robotics, including sensing, movement, and teamwork. The government investment is crucial for ensuring U.S. Warfighters maintain a combat advantage, while also aligning research priorities to defeat near-peer adversarial threats.
The US Army Research Laboratory's Robotics Collaborative Technology Alliance brings together industry-academia researchers to solve military problems with scientific solutions. Students from undergraduate to doctoral levels contribute to the alliance by working on real Army problems in university laboratories.
Researchers at U.S. Army Research Laboratory have made significant breakthroughs in developing artificial nanomotors inspired by biological molecules, which can harness Brownian motion for efficient energy production. These advancements aim to create faster, more versatile robots with improved autonomy and stealth capabilities.
Researchers have developed engineered viruses to target specific strains of bacteria, reducing the risk of antibiotic resistance. The new approach could provide a targeted alternative to traditional antibiotics.
A new study by the US Army Research Laboratory found that humans' confidence in robots decreases significantly after a mistake, regardless of transparency. Participants rated the unreliable robot as less trustworthy, likable, and safe than the reliable one.
Researchers from the US Army Combat Capabilities Development Command led experiments using hand gestures and head gaze to control autonomous robots in a real-world urban environment. The system successfully mapped the environment, located objects of interest, and provided situational awareness for soldiers.
Researchers created robots entirely from smaller robots called smarticles, unlocking a new locomotion technique. The smarticles can form structures and move in response to stimuli, allowing them to navigate mazes and even change their shapes.
New Army research applies trends from historical weapon systems, including crossbows and tanks, to explore potential future systems. A single regularity describes the growth of diverse families of technology over multiple centuries.