Researchers at FAU's CA-AI are developing machine learning technologies to enable autonomous systems to sense, learn, and act in coordination. The project aims to overcome the challenge of individual smart systems failing to collaborate effectively as part of a network.
Sky-Watcher EQ6-R Pro Equatorial Mount
Sky-Watcher EQ6-R Pro Equatorial Mount provides precise tracking capacity for deep-sky imaging rigs during long astrophotography sessions.
Researchers propose a foundational framework to help multi-agent, connected systems decide what information they can trust before acting. The 'cy-trust' concept assigns a numerical trust value between 0 and 1 to data from other agents based on sensing, context, network behavior, and past experience.
SourceHarvard John A. Paulson School of Engineering and Applied Sciences·JournalProceedings of the IEEE·TypeSystematic review·DateApr 2, 2026
Researchers at University of Missouri are developing software that allows drones to fly independently, perceiving and interacting with their environment while achieving specific goals. This technology has the potential to assist in mapping and monitoring applications, such as 3D or 4D advanced imagery for disaster response.
A new study published in The Journal of Experimental Social Psychology reveals that high-tech bots are more likely to be held responsible for civilian deaths, even when the incidents are identical. Researchers found that people perceive robots as more culpable if described in a more advanced way.
SourceUniversity of Essex·JournalJournal of Experimental Social Psychology·TypeSurvey·DateMar 14, 2024
SAMSUNG T9 Portable SSD 2TB
SAMSUNG T9 Portable SSD 2TB transfers large imagery and model outputs quickly between field laptops, lab workstations, and secure archives.
Australian researchers developed an algorithm that can intercept and shut down man-in-the-middle cyberattacks on unmanned military robots. The algorithm, tested on a replica of a US army combat ground vehicle, was 99% successful in preventing malicious attacks.
SourceUniversity of South Australia·JournalIEEE Transactions on Dependable and Secure Computing·TypeExperimental study·DateOct 11, 2023
A new AI system uses artificial neural networks to recognize objects more accurately and stably, despite changing visual inputs. The system mimics human eye movements to improve machine vision capabilities, reducing errors in self-driving cars and other applications.
SourceRIKEN·JournalPLOS Computational Biology·DateJun 22, 2022
Scientists have discovered a way to create materials that can snap and reset themselves, moving without the need for motors or external power. This breakthrough could enable future military robots to operate independently, reducing reliance on batteries and motors.
SourceU.S. Army Research Laboratory·JournalNature Materials·DateFeb 1, 2021
Researchers at Sandia National Laboratories create a hopping robot that can leap up to 20 feet in the air and travel five miles on a single tank of gas. The robot's unique combustion-driven piston allows it to make corrections after each jump, making it suitable for challenging environments.
Researchers at Vanderbilt University have designed and constructed a small robotic 'bug' that can scuttle more than half a mile on a single battery charge. The robot, which is about three inches long and weighs two ounces, uses an unusual material called piezoelectric ceramic to achieve its motion.
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Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.
Researchers at the University of Minnesota have developed miniature robots that can bounce, climb stairs and explore buildings. The robots can gather information via radio links and be deployed in groups to provide diverse perspectives on a situation.
SourceNew Scientist·JournalThe New Scientist·DateNov 9, 1999
Researchers have developed a mobile robot tracking system that can predict escape routes and optimize view angles to catch moving objects. The system uses laser rangefinders and 3D mapping to track targets, making it difficult for humans and robots to evade detection.
SourceNew Scientist·JournalThe New Scientist·DateOct 14, 1998