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Categories: Engineering: Robotics Research, Paleontology: Early Mammals and Birds
Published Last surviving woolly mammoths were inbred but not doomed to extinction



The last population of woolly mammoths was isolated on Wrangel Island off the coast of Siberia 10,000 years ago, when sea levels rose and cut the mountainous island off from the mainland. A new genomic analysis reveals that the isolated mammoths, who lived on the island for the subsequent 6,000 years, originated from at most 8 individuals but grew to 200--300 individuals within 20 generations. The researchers report that the Wrangel Island mammoths' genomes showed signs of inbreeding and low genetic diversity but not to the extent that it can explain their ultimate (and mysterious) extinction.
Published Robots face the future



Researchers have found a way to bind engineered skin tissue to the complex forms of humanoid robots. This brings with it potential benefits to robotic platforms such as increased mobility, self-healing abilities, embedded sensing capabilities and an increasingly lifelike appearance. Taking inspiration from human skin ligaments, the team included special perforations in a robot face, which helped a layer of skin take hold.
Published Meet CARMEN, a robot that helps people with mild cognitive impairment



Meet CARMEN, short for Cognitively Assistive Robot for Motivation and Neurorehabilitation -- a small, tabletop robot designed to help people with mild cognitive impairment (MCI) learn skills to improve memory, attention, and executive functioning at home.
Published Breakthrough approach enables bidirectional BCI functionality



Brain-computer interfaces or BCIs hold immense potential for individuals with a wide range of neurological conditions, but the road to implementation is long and nuanced for both the invasive and noninvasive versions of the technology. Scientists have now successfully integrated a novel focused ultrasound stimulation to realize bidirectional BCI that both encodes and decodes brain waves using machine learning in a study with 25 human subjects. This work opens up a new avenue to significantly enhance not only the signal quality, but also, overall nonivasive BCI performance by stimulating targeted neural circuits.
Published Researchers use large language models to help robots navigate



A technique can plan a trajectory for a robot using only language-based inputs. While it can't outperform vision-based approaches, it could be useful in settings that lack visual data to use for training.
Published Self-assembling and disassembling swarm molecular robots via DNA molecular controller



Researchers have succeeded in developing a DNA-based molecular controller. Crucially, this controller enables the autonomous assembly and disassembly of molecular robots, as opposed to manually directing it.
Published Tiny New Zealand bird delivers a lesson in birdsong evolution



Scientists are rethinking the evolution of vocal learning in birds. New Zealand's smallest bird, the rifleman or titipounamu, may have a rudimentary version of the talent possessed by parrots, hummingbirds and songbirds.
Published Mobile monitoring for an airborne carcinogen in Louisiana's 'Cancer Alley'



Louisiana's southeastern corridor is sometimes known colloquially as 'Cancer Alley' for its high cancer incidence rates connected to industrial air pollution. Most of the region's air pollution-related health risks are attributed to ethylene oxide, a volatile compound used to make plastics and sterilize medical equipment. Researchers measured concerning levels of ethylene oxide in this area with mobile optical instruments, a technique they say could improve health risk assessments.
Published Robot radiotherapy could improve treatments for eye disease



Researchers have successfully used a new robot system to improve treatment for debilitating eye disease.
Published Towards a new era in flexible piezoelectric sensors for both humans and robots



Flexible piezoelectric sensors are essential to monitor the motions of both humans and humanoid robots. However, existing designs are either are costly or have limited sensitivity. In a recent study, researchers tackled these issues by developing a novel piezoelectric composite material made from electrospun polyvinylidene fluoride nanofibers combined with dopamine. Sensors made from this material showed significant performance and stability improvements at a low cost, promising advancements in medicine, healthcare, and robotics.
Published AI-powered simulation training improves human performance in robotic exoskeletons



Researchers have demonstrated a new method that leverages artificial intelligence (AI) and computer simulations to train robotic exoskeletons to autonomously help users save energy while walking, running and climbing stairs.
Published 3D-printed mini-actuators can move small soft robots, lock them into new shapes



Researchers have demonstrated miniature soft hydraulic actuators that can be used to control the deformation and motion of soft robots that are less than a millimeter thick. The researchers have also demonstrated that this technique works with shape memory materials, allowing users to repeatedly lock the soft robots into a desired shape and return to the original shape as needed.
Published Researchers create realistic virtual rodent



To help probe the mystery of how brains control movement, scientists have created a virtual rat with an artificial brain that can move around just like a real rodent. The researchers found that activations in the virtual control network accurately predicted neural activity measured from the brains of real rats producing the same behaviors.
Published Trash-sorting robot mimics complex human sense of touch



Researchers are breaking through the difficulties of robotic recognition of various common, yet complex, items. Their layered sensor is equipped with material detection at the surface and pressure sensitivity at the bottom, with a porous middle layer sensitive to thermal changes. An efficient cascade classification algorithm rules out object types in order, from easy to hard, starting with simple categories like empty cartons before moving on to orange peels or scraps of cloth.
Published Four-legged, dog-like robot 'sniffs' hazardous gases in inaccessible environments



Nightmare material or truly man's best friend? A team of researchers equipped a dog-like quadruped robot with a mechanized arm that takes air samples from potentially treacherous situations, such as an abandoned building or fire. The robot dog walks samples to a person who screens them for potentially hazardous compounds.
Published Researchers create skin-inspired sensory robots to provide medical treatment



Scientists have created innovative soft robots equipped with electronic skins and artificial muscles, allowing them to sense their surroundings and adapt their movements in real-time.
Published Tiny new species of great ape lived in Germany 11 million years ago



Ancient apes in Germany co-existed by partitioning resources in their environment, according to a new study.
Published Liquid metal-based electronic logic device that mimics intelligent prey-capture mechanism of Venus flytrap



A research team has developed a liquid metal-based electronic logic device that mimics the intelligent prey-capture mechanism of Venus flytraps. Exhibiting memory and counting properties, the device can intelligently respond to various stimulus sequences without the need for additional electronic components. The intelligent strategies and logic mechanisms in the device provide a fresh perspective on understanding 'intelligence' in nature and offer inspiration for the development of 'embodied intelligence'.
Published Better farming through nanotechnology



Advanced technologies enable the controlled release of medicine to specific cells in the body. Scientists argue these same technologies must be applied to agriculture if growers are to meet increasing global food demands.
Published A technique for more effective multipurpose robots



MIT researchers developed a technique to combine robotics training data across domains, modalities, and tasks using generative AI models. They create a combined strategy from several different datasets that enables a robot to learn to perform new tasks in unseen environments.