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Categories: Engineering: Robotics Research, Mathematics: Modeling
Published Toward a safer 'artificial muscle' material
(via sciencedaily.com) Original source Whether wriggling your toes or lifting groceries, muscles in your body smoothly expand and contract. Some polymers can do the same thing -- acting like artificial muscles -- but only when stimulated by dangerously high voltages. Now, researchers report a series of thin, elastic films that respond to substantially lower electrical charges. The materials represent a step toward artificial muscles that could someday operate safely in medical devices.
Published It's all in the wrist: Energy-efficient robot hand learns how not to drop the ball
(via sciencedaily.com) Original source Researchers have designed a low-cost, energy-efficient robotic hand that can grasp a range of objects -- and not drop them -- using just the movement of its wrist and the feeling in its 'skin'.
Published Table tennis brain teaser: Playing against robots makes our brains work harder
(via sciencedaily.com) Original source Brain scans taken during table tennis reveal differences in how we respond to human versus machine opponents.
Published New atomic-scale understanding of catalysis could unlock massive energy savings
(via sciencedaily.com) Original source In an advance they consider a breakthrough in computational chemistry research, chemical engineers have developed a model of how catalytic reactions work at the atomic scale. This understanding could allow engineers and chemists to develop more efficient catalysts and tune industrial processes -- potentially with enormous energy savings, given that 90% of the products we encounter in our lives are produced, at least partially, via catalysis.
Published Random matrix theory approaches the mystery of the neutrino mass
(via sciencedaily.com) Original source Scientists analyzed each element of the neutrino mass matrix belonging to leptons and showed theoretically that the intergenerational mixing of lepton flavors is large. Furthermore, by using the mathematics of random matrix theory, the research team was able to demonstrate, as much as is possible at this stage, why the calculation of the squared difference of the neutrino masses are in close agreement with the experimental results in the case of the seesaw model with the random Dirac and Majorana matrices. The results of this research are expected to contribute to the further development of particle theory research, which largely remains a mystery.
Published Robots predict human intention for faster builds
(via sciencedaily.com) Original source Humans have a way of understandings others' goals, desires and beliefs, a crucial skill that allows us to anticipate people's actions. Taking bread out of the toaster? You'll need a plate. Sweeping up leaves? I'll grab the green trash can. This skill, often referred to as 'theory of mind,' comes easily to us as humans, but is still challenging for robots. But, if robots are to become truly collaborative helpers in manufacturing and in everyday life, they need to learn the same abilities. Computer science researchers aim to teach robots how to predict human preferences in assembly tasks, so they can one day help out on everything from building a satellite to setting a table.
Published New cyber software can verify how much knowledge AI really knows
(via sciencedaily.com) Original source With a growing interest in generative artificial intelligence (AI) systems worldwide, researchers have created software that is able to verify how much information an AI farmed from an organization's digital database.
Published Origami-inspired robots can sense, analyze and act in challenging environments
(via sciencedaily.com) A multidisciplinary team has created a new fabrication technique for fully foldable robots that can perform a variety of complex tasks without relying on semiconductors.
Published Robotic hand can identify objects with just one grasp
(via sciencedaily.com) Newly created soft-rigid robotic fingers incorporate powerful sensors along their entire length, enabling them to produce a robotic hand that could accurately identify objects after only one grasp.
Published Forgive or forget: What happens when robots lie?
(via sciencedaily.com) Original source Student researchers investigate how intentional robot deception affects trust, examining the effectiveness of apologies after robots lie.
Published Microrobot technology: Externally connecting in vivo neural networks
(via sciencedaily.com) Researchers have developed a technology for delivering a microrobot to a target point of a hippocampus in an in-vitro environment, connecting neural networks, and measuring neural signals. The findings are expected to contribute to neural network research and the verification and analysis of cell therapy products.
Published New details of SARS-COV-2 structure
(via sciencedaily.com) Researchers used computational modeling to reveal finer details surrounding the outer shell of the COVID-19 virus. The work expands the scientific community's understanding of SARS-COV-2, and could lead to more refined antiviral therapies and better vaccines.
Published Can AI predict how you'll vote in the next election?
(via sciencedaily.com) Artificial intelligence technologies like ChatGPT are seemingly doing everything these days: writing code, composing music, and even creating images so realistic you'll think they were taken by professional photographers. Add thinking and responding like a human to the conga line of capabilities. A recent study proves that artificial intelligence can respond to complex survey questions just like a real human.
Published AI could set a new bar for designing hurricane-resistant buildings
(via sciencedaily.com) Being able to withstand hurricane-force winds is the key to a long life for many buildings on the Eastern Seaboard and Gulf Coast of the U.S. Determining the right level of winds to design for is tricky business, but support from artificial intelligence may offer a simple solution.
Published Machine learning model helps forecasters improve confidence in storm prediction
(via sciencedaily.com) When severe weather is brewing and life-threatening hazards like heavy rain, hail or tornadoes are possible, advance warning and accurate predictions are of utmost importance. Weather researchers have given storm forecasters a powerful new tool to improve confidence in their forecasts and potentially save lives. Over the last several years, Russ Schumacher, professor in the Department of Atmospheric Science and Colorado State Climatologist, has led a team developing a sophisticated machine learning model for advancing skillful prediction of hazardous weather across the continental United States. First trained on historical records of excessive rainfall, the model is now smart enough to make accurate predictions of events like tornadoes and hail four to eight days in advance -- the crucial sweet spot for forecasters to get information out to the public so they can prepare. The model is called CSU-MLP, or Colorado State University-Machine Learning Probabilities.
Published Could changes in Fed's interest rates affect pollution and the environment?
(via sciencedaily.com) Can monetary policy such as the U.S. Federal Reserve raising interest rates affect the environment? According to a new study, it can. Results suggest that the impact of monetary policy on pollution is basically domestic: a monetary contraction or reduction in a region reduces its own emissions, but this does not seem to spread out to other economies. However, the findings do not imply that the international economy is irrelevant to determining one region's emissions level. The actions of a country, like the U.S., are not restricted to its borders. For example, a positive shock in the Federal Reserve's monetary policy may cause adjustments in the whole system, including the carbon emissions of the other regions.
Published Preschoolers prefer to learn from a competent robot than an incompetent human
(via sciencedaily.com) Researchers found that preschoolers prefer learning from what they perceive as a competent robot over an incompetent human. This study is the first to use both a human speaker and a robot to see if children deem social affiliation and similarity more important than competency when choosing which source to trust and learn from.
Published Meet the hybrid micro-robot: The tiny robot that is able to navigate in a physiological environment and capture targeted damaged cells
(via sciencedaily.com) Researchers have developed a hybrid micro-robot, the size of a single biological cell (about 10 microns across), that can be controlled and navigated using two different mechanisms -- electric and magnetic. The micro-robot is able to navigate between different cells in a biological sample, distinguish between different types of cells, identify whether they are healthy or dying, and then transport the desired cell for further study, such as genetic analysis.
Published Robot caterpillar demonstrates new approach to locomotion for soft robotics
(via sciencedaily.com) Researchers have demonstrated a caterpillar-like soft robot that can move forward, backward and dip under narrow spaces. The caterpillar-bot's movement is driven by a novel pattern of silver nanowires that use heat to control the way the robot bends, allowing users to steer the robot in either direction.
Published Biodegradable artificial muscles: Going green in the field of soft robotics
(via sciencedaily.com) Scientists have developed fully biodegradable, high-performance artificial muscles. Their research project marks another step towards green technology becoming a lasting trend in the field of soft robotics.