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Categories: Ecology: Animals, Engineering: Robotics Research
Published To optimize guide-dog robots, first listen to the visually impaired
(via sciencedaily.com) Original source What features does a robotic guide dog need? Ask the blind, say researchers. A new study identifies how to develop robot guide dogs with insights from guide dog users and trainers.
Published Jet-propelled sea creatures could improve ocean robotics
(via sciencedaily.com) Original source Scientists have discovered that colonies of gelatinous sea animals swim through the ocean in giant corkscrew shapes using coordinated jet propulsion, an unusual kind of locomotion that could inspire new designs for efficient underwater vehicles.
Published Robotic 'SuperLimbs' could help moonwalkers recover from falls
(via sciencedaily.com) Original source SuperLimbs, a system of wearable robotic limbs, can physically support an astronaut and lift them back on their feet after a fall, helping them conserve energy for other essential tasks.
Published Bees and butterflies on the decline in western and southern North America
(via sciencedaily.com) Original source Bee and butterfly populations are in decline in major regions of North America due to ongoing environmental change, and significant gaps in pollinator research limit our ability to protect these species, according to a new study.
Published Animal brain inspired AI game changer for autonomous robots
(via sciencedaily.com) Original source A team of researchers has developed a drone that flies autonomously using neuromorphic image processing and control based on the workings of animal brains. Animal brains use less data and energy compared to current deep neural networks running on GPUs (graphic chips). Neuromorphic processors are therefore very suitable for small drones because they don't need heavy and large hardware and batteries. The results are extraordinary: during flight the drone's deep neural network processes data up to 64 times faster and consumes three times less energy than when running on a GPU. Further developments of this technology may enable the leap for drones to become as small, agile, and smart as flying insects or birds.
Published Tiger beetles fight off bat attacks with ultrasonic mimicry
(via sciencedaily.com) Original source When tiger beetles hear a bat nearby, they respond by creating a high-pitched, ultrasonic noise, and for the past 30 years, no one has known why. In a new study, scientists lay the mystery to rest by showing that tiger beetles use ultrasonic warning signals that mimic those of toxic moths.
Published Parasitic worm likely playing role in decline of moose populations
(via sciencedaily.com) Original source A parasitic worm that can infest the brains of moose appears to be playing a role in the decline of the iconic animal in some regions of North America. Moose populations have been dwindling for years across the country due to many contributing factors, but new research has found the impact of Eleaophora schneideri, also known as the arterial worm, has likely been underestimated.
Published Robots' and prosthetic hands' sense of touch could be as fast as humans
(via sciencedaily.com) Original source Research could pave the way for a prosthetic hand and robot to be able to feel touch like a human hand. The technology could also be used to help restore lost functionality to patients after a stroke.
Published Climate change is most prominent threat to pollinators
(via sciencedaily.com) Original source A new article has found that climate change is the most prominent threat to pollinators -- such as bumblebees, wasps, and butterflies -- who are essential for biodiversity conservation, crop yields and food security. The research suggests that many of the threats to pollinators result from human activities.
Published Highly pathogenic avian flu detected in New York City wild birds
(via sciencedaily.com) Original source A small number of New York City wild birds carry highly pathogenic H5N1 avian influenza, according to a recent study.
Published Researchers use artificial intelligence to boost image quality of metalens camera
(via sciencedaily.com) Original source Researchers have leveraged deep learning techniques to enhance the image quality of a metalens camera. The new approach uses artificial intelligence to turn low-quality images into high-quality ones, which could make these cameras viable for a multitude of imaging tasks including intricate microscopy applications and mobile devices.
Published Iconic baobabs: The origin and long-distance travels of upside down trees
(via sciencedaily.com) Original source The research cracks the code on the iconic baobab tree's origin story, revealing their surprising origins in Madagascar and incredible long-distance dispersals to Africa and Australia. The study unveils how baobabs developed unique pollination mechanisms -- some attracting hawkmoths, others lemurs, and even bats -- showcasing remarkable evolutionary adaptations. The research sheds light on how climate change has shaped the baobab's distribution and diversification over millions of years, offering valuable insights for understanding plant responses to future environmental shifts.
Published Genetics provide key to fight crown-of-thorns starfish
(via sciencedaily.com) Original source Scientists are one step closer to combating coral-destroying crown-of-thorns starfish, following a study into the pest's genetics.
Published Most dangerous areas for whale shark-shipping vessel collisions revealed
(via sciencedaily.com) Original source Heavily-used shipping lanes that pass through whale shark feeding grounds pose a threat to the species, according to scientists who have revealed areas where the creatures are at the highest risk.
Published Cats purrfectly demonstrate what it takes to trust robots
(via sciencedaily.com) Original source Would you trust a robot to look after your cat? New research suggests it takes more than a carefully designed robot to care for your cat, the environment in which they operate is also vital, as well as human interaction.
Published New viruses that could cause epidemics on the horizon
(via sciencedaily.com) Original source Suddenly they appear and -- like the SARS-CoV-2 coronavirus -- can trigger major epidemics: Viruses that nobody had on their radar. They are not really new, but they have changed genetically. In particular, the exchange of genetic material between different virus species can lead to the sudden emergence of threatening pathogens with significantly altered characteristics.
Published Island birds more adaptable than previously thought
(via sciencedaily.com) Original source The researchers found that birds were more evolutionarily similar on smaller, more isolated islands than on larger, less remote places. The team had expected to find that forested areas had more numerous and more varied species of birds compared to farmland areas. But they were surprised to find that the opposite was true: Areas with farms and human settlements had more species of birds and greater diversity than forested areas.
Published A better way to control shape-shifting soft robots
(via sciencedaily.com) Original source A new machine-learning technique can train and control a reconfigurable soft robot that can dynamically change its shape to complete a task. The researchers also built a simulator that can evaluate control algorithms for shape-shifting soft robots.
Published Robotic system feeds people with severe mobility limitations
(via sciencedaily.com) Original source Researchers have developed a robotic feeding system that uses computer vision, machine learning and multimodal sensing to safely feed people with severe mobility limitations, including those with spinal cord injuries, cerebral palsy and multiple sclerosis.
Published Generative AI that imitates human motion
(via sciencedaily.com) Original source Walking and running is notoriously difficult to recreate in robots. Now, a group of researchers has overcome some of these challenges by creating an innovative method that employs central pattern generators -- neural circuits located in the spinal cord that generate rhythmic patterns of muscle activity -- with deep reinforcement learning. The method not only imitates walking and running motions but also generates movements for frequencies where motion data is absent, enables smooth transition movements from walking to running, and allows for adapting to environments with unstable surfaces.