Category robots

Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light

Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light

Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light

Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light

Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light

Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light

Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light

Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light

Non-living hydrogels can play the video game Pong and improve their gameplay with more experience, researchers report. The researchers hooked hydrogels up to a virtual game environment and then applied a feedback loop between the hydrogel's paddle -- encoded by the distribution of charged particles within the hydrogel -- and the ball's position -- encoded by electrical stimulation. With practice, the hydrogel's accuracy improved by up to 10%, resulting in longer rallies. The researchers say that this demonstrates the ability of non-living materials to use 'memory' to update their understanding of the environment, though more research is needed before it could be said that hydrogels can 'learn.'

In an innovative leap forward for workplace safety, a research team at Seoul National University has developed the Bilateral Back Extensor Exosuit (BBEX), a robotic back-support device designed to prevent spinal injuries and assist workers in heavy lifting tasks.

Robotic automation has become a game-changer in addressing labor shortages. While traditional rigid grippers have effectively automated various routine tasks, boosting efficiency and productivity in industries that deal with objects of well-defined specifications, they fall short in sectors like the food industry, where delicate objects of varying sizes and shapes need to be handled. In these cases, a more specialized type of gripper is required.

With omnidirectional movement and smart docking with virtually any warehouse cart in under 20 seconds, these new robots are making material handling faster and safer.

West Virginia University roboticists are working on an alternative path to robot autonomy in Loopy, a "multicellular robot" composed of a ring of individual interconnected robot cells.

A multidisciplinary research team based across China and Brazil has used a dog-like robot and AI to create a new way to find fire ant nests. Published in the journal Pest Management Science, the study highlights how a "CyberDog" robot integrated with an AI model can automate the identification and control of Red Imported Fire Ants (RIFA), a globally destructive pest.

An insect species that evolved 130 million years ago is the inspiration for a new research study to improve navigation systems in drones, robots, and orbiting satellites.