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Categories: Engineering: Robotics Research, Environmental: Wildfires

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More than 100,000 oil and gas wells across the western U.S. are in areas burned by wildfires in recent decades, a new study has found, and some 3 million people live next to wells that in the future could be in the path of fires worsened by climate change.

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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.

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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.

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There is a common belief that prescribed burning, thinning trees, and clearing underbrush reduce risks of the severity of future fires. But is that true? A new project analyzing 40 studies where wildfire burned into different vegetation treatments, spanning 11 western states. Researchers found overwhelming evidence that in seasonally dry mixed conifer forests in the western U.S., reducing surface and ladder fuels and tree density through thinning, coupled with prescribed burning or pile burning, could reduce future wildfire severity by more than 60% relative to untreated areas.

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A new study shows soot from large wildfires in California traps sunlight, making days warmer and drier than they ought to be.

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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.

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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.

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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.

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A new machine-learning system can automatically produce detailed maps from satellite data to show locations of likely beetle-killed spruce trees in Alaska, even in forests of low and moderate infestation where identification is otherwise difficult. The automated process can help forestry and wildfire managers in their decisions. That's critical as the beetle infestation spreads.

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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.

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Researchers have successfully used a new robot system to improve treatment for debilitating eye disease.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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'.

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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.