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Categories: Engineering: Robotics Research, Mathematics: Modeling

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Researchers have developed a method that allows a flapping-wing robot to land autonomously on a horizontal perch using a claw-like mechanism. The innovation could significantly expand the scope of robot-assisted tasks.

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Scientists give the lay of the land in the quest for electrolytes that could enable revolutionary battery chemistries.

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Researchers suggest how scientists can circumvent the need for massive data sets to forecast extreme events with the combination of an advanced machine learning system and sequential sampling techniques.

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Researchers have developed an AI based neural network to detect an early knee osteoarthritis from x-ray images. AI was able to match a doctors' diagnosis in 87% of cases. The result is important because x-rays are the primary diagnostic method for early knee osteoarthritis. An early diagnosis can save the patient from unnecessary examinations, treatments and even knee joint replacement surgery.

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Enhancing the virtual experience with the touch sensation has become a hot topic, but today's haptic devices remain typically bulky and tangled with wires. Researchers have now developed an advanced wireless haptic interface system, called WeTac, worn on the hand, which has soft, ultrathin soft features, and collects personalized tactile sensation data to provide a vivid touch experience in the metaverse.

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A new gelatinous robot that crawls, powered by nothing more than temperature change and clever design, brings 'a kind of intelligence' to the field of soft robotics.

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Structures made out of building blocks can shift their shape and autonomously self-organize to a new configuration. The physicists revealed this mechanism which may be used to actively manipulate molecular organization. A seed of the novel desired configuration is sufficient to trigger reorganization. This principle can be applied on to biological building blocks which are constantly recycled to form new structures in living systems.

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A new model describes how biological or technical systems form complex structures equipped with signal-processing capabilities that allow the systems to respond to stimulus and perform functional tasks without external guidance.

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A new study shows machine-learning models trained using simple symptoms, demographic features are effective in predicting COVID-19 infections.

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Using a novel modeling method, a team of researchers gained new insights into how hummingbirds produce wing movement, which could lead to design improvements in flying robots.

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Self-driving cars need to implement efficient, effective, and accurate detection systems to provide a safe and reliable experience to its users. To this end, an international research team has now developed an end-to-end neural network that, in conjunction with the Internet-of-Things technology, detects object with high accuracy (> 96%) in both 2D and 3D. The new method outperforms the current state-of-the-art methods and the way to new 2D and 3D detection systems for autonomous vehicles.

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Mathematical analysis identifies a vortex structure that is impervious to decay.

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The reliability of data storage and writing speed in advanced magnetic devices depend on drastic, complex changes in microscopic magnetic domain structures. However, it is extremely challenging to quantify these changes, limiting our understanding of magnetic phenomena. To tackle this, researchers developed, using machine learning and topology, an analysis method that quantifies the complexity of the magnetic domain structures, revealing hidden features of magnetization reversal that are hardly seen by human eyes.

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In a laboratory experiment, researchers have succeeded in realizing an effective spacetime that can be manipulated. In their research on ultracold quantum gases, they were able to simulate an entire family of curved universes to investigate different cosmological scenarios and compare them with the predictions of a quantum field theoretical model.

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With the theory that for every action, even those seemingly complex and random, there is a math problem that describes it, a researcher is publishing a new formula that helps find that equation quickly. Yes, he's speeding up science.

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Engineers have created a soft robot capable of detecting when and where it was damaged -- and then healing itself on the spot.

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Researchers used a unique coupled computer modeling approach to accurately recreate the coastal flooding that occurred during Hurricane Florence, demonstrating that it is more accurate than traditional modeling approaches.

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Researchers have discovered a new method to move objects using ultrasound waves, opening the door for using contactless manipulation in industries such as robotics and manufacturing.

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Engineers have designed a system to remotely measure blood pressure by filming a person's forehead and extracting cardiac signals using artificial intelligence algorithms.

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Machine learning drives self-discovery of pulses that stabilize quantum systems in the face of environmental noise.