All posts by Robotics Research News -- ScienceDaily

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How does a hula hoop master gravity? Mathematicians prove that shape matters

Hula hooping is so commonplace that we may overlook some interesting questions it raises: 'What keeps a hula hoop up against gravity?' and 'Are some body types better for hula hooping than others?' A team of mathematicians explored and answered these questions with findings that also point to new ways to better harness energy and improve robotic positioners.

Artificial intelligence: Algorithms improve medical image analysis

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the result of AutoPET, an international competition in medical image analysis. The seven best autoPET teams report on how algorithms can detect tumor lesions in positron emission tomography (PET) and computed tomography (CT).

Laser-based artificial neuron mimics nerve cell functions at lightning speed

Researchers developed a laser-based artificial neuron that fully emulates the functions, dynamics and information processing of a biological graded neuron, which could lead to new breakthroughs in advanced computing. With a processing speed a billion times faster than nature, chip-based laser neuron could help advance AI tasks such as pattern recognition and sequence prediction.

Swarms of ‘ant-like’ robots lift heavy objects and hurl themselves over obstacles

Scientists have developed swarms of tiny magnetic robots that work together like ants to achieve Herculean feats, including traversing and picking up objects many times their size. The findings suggest that these microrobot swarms -- operating under a rotating magnetic field -- could be used to take on difficult tasks in challenging environments that individual robots would struggle to handle, such as offering a minimally invasive treatment for clogged arteries and precisely guiding organisms.

Tiny robots, big impact: Revolutionizing infertility treatment with magnetic microrobots

Infertility affects an estimated 186 million people worldwide, with fallopian tube obstruction contributing to 11%-67% of female infertility cases. Researchers have developed an innovative solution using a magnetically driven robotic microscrew to treat fallopian tube blockages. The microrobot is made from nonmagnetic photosensitive resin, coated with a thin iron layer to give it magnetic properties. By applying an external magnetic field, the robot rotates, generating translational motion that enables it to navigate through a glass channel simulating a fallopian tube.

Diversity and inclusion accelerate the pace of innovation in robotics

Diverse and inclusive teams are not merely a moral imperative but also a catalyst for scientific excellence in robotics, scientists point out in a study. The team has outlined how a scientific community can benefit if its leadership fosters an environment of diversity and inclusion, and propose a leadership guide for roboticists to help reap these benefits.

10,000 times faster than traditional methods: New computational framework automatically discovers experimental designs in microscopy

For human researchers, it takes many years of work to discover new super-resolution microscopy techniques. The number of possible optical configurations of a microscope -- for example, where to place mirrors or lenses -- is enormous. Researchers have now developed an artificial intelligence (AI) framework which autonomously discovers new experimental designs in microscopy. The framework, called XLuminA, performs optimizations 10,000 times faster than well-established methods.

Readers trust news less when AI is involved, even when they don’t understand to what extent

Researchers have published two studies in which they surveyed readers on their thoughts about AI in journalism. When provided a sample of bylines stating AI was involved in producing news in some way or not at all, readers regularly stated they trusted the credibility of the news less if AI had a role. Even when they didn't understand exactly what AI contributed, they reported less trust and that 'humanness' was an important factor in producing reliable news.

Researchers innovate scalable robotic fibers with light-emitting, self-healing and magnetic properties

A team of interdisciplinary scientists has developed flexible fibers with self-healing, light-emitting and magnetic properties. The Scalable Hydrogel-clad Ionotronic Nickel-core Electroluminescent (SHINE) fiber is bendable, emits highly visible light, and can automatically repair itself after being cut, regaining nearly 100 per cent of its original brightness. In addition, the fiber can be powered wirelessly and manipulated physically using magnetic forces.
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