Researchers give robots a sense of touch by 'listening' to vibrations, allowing them to identify materials, understand shapes and recognize objects just like human hands. The ability to interpret the world through acoustic vibrations emanating from an object -- like shaking a cup to see how much soda is left or tapping on a desk to see if it's made out of real wood -- is something humans do without thinking. And it's an ability that researchers are on the cusp of bringing to robots to augment their rapidly growing set of sensing abilities.
Eye care specialists could see artificial intelligence help in diagnosing infectious keratitis (IK), a leading cause of corneal blindness worldwide, as a new study finds that deep learning models showed similar levels of accuracy in identifying infection.
Engineers have developed a new system for full-body motion capture -- and it doesn't require specialized rooms, expensive equipment, bulky cameras or an array of sensors. Instead, it requires only a smartphone, smartwatch or earbuds.
Researchers explore how the domesticated flightless silkworm moth (Bombyx mori), a prominent insect model in olfactory research, uses wing flapping to manipulate airflow, enhancing their ability to detect distant pheromones. These findings highlight how moths guide pheromones to their odor sensors in antennae, and suggest potential applications for designing advanced robotic systems for odor source localization. This could inspire future innovations in drones and provide design guidelines for robots to locate odor sources.
A new computer simulation of how our brains develop and grow neurons has been built. Along with improving our understanding of how the brain works, researchers hope that the models will contribute to neurodegenerative disease research and, someday, stem cell research that helps regenerate brain tissue.
New artificial intelligence models for plasma heating can do more than was previously thought possible, not only increasing the prediction speed 10 million times while preserving accuracy but also correctly predicting plasma heating in cases where the original numerical code failed.
Researchers have developed a soft robotic 'finger' with a sophisticated sense of touch that can perform routine doctor office examinations, including taking a patient's pulse and checking for abnormal lumps.
Engineers have worked out how to give robots complex instructions without electricity, which could free up more space in the robotic 'brain' for them to 'think'. Mimicking how some parts of the human body work, researchers have transmitted a series of commands to devices with a new kind of compact circuit, using variations in pressure from a fluid inside it.
Researchers introduces the first toroidal, light-driven micro-robot that can move autonomously in viscous liquids, such as mucus. This innovation marks a major step forward in developing micro-robots capable of navigating complex environments, with promising applications in fields such as medicine and environmental monitoring.
Miniature robots on the millimeter scale often lack the strength to transport instruments for endoscopic microsurgery through the body. Scientists are now combining several millimeter-sized TrainBots into one unit and equipping them with improved 'feet'. For the first time, the team was able to perform an electric surgical procedure on a bile duct obstruction experimentally with a robotic convoy.
Researchers explored how infants act purposefully by attaching a colorful mobile to their foot and tracking movements with a Vicon 3D motion capture system. The study tested AI's ability to detect changes in infant movement patterns. Findings showed that AI techniques, especially the deep learning model 2D-CapsNet, effectively classified different stages of behavior. Notably, foot movements varied significantly. Looking at how AI classification accuracy changes for each baby gives researchers a new way to understand when and how they start to engage with the world.
Engineers developed a system that helps robots quickly map a scene and identify items they need to complete a set of tasks.
Conventional robotic grippers struggle to adapt to complex shapes and sizes, such as those found in crops. This has created a demand for more adaptable robotic grippers that can be utilized in agriculture. In a new study, researchers introduced an innovative soft robotic gripper named ROtation-based Squeezing grippEr (ROSE) and optimized its unique wrinkling-based grasping mechanism using simulations. ROSE's soft yet secure grasp can make it a vital tool for agriculture.
Large language models (LLMs) have developed rapidly in recent years and are becoming an integral part of our everyday lives through applications like ChatGPT. An article explains the opportunities and risks that arise from the use of LLMs for our ability to collectively deliberate, make decisions, and solve problems.
Scientists at MPI-IS have developed electrically driven robotic components, called HEXEL modules, which can snap together into high-speed reconfigurable robots. Magnets embedded along the outside of the modules allow them to electrically and mechanically connect to other modules, forming robots with diverse shapes and capabilities. HEXEL modules are a promising technology for use in resource-limited environments, such as on space or rescue missions, and can be used to construct versatile robots from redundant parts, altogether promoting a sustainable robot design.