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Categories: Computer Science: Virtual Reality (VR), Engineering: Robotics Research

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Fossils of a marine animal that lived 500 million years ago, combined with computer simulations, informed the design of a new soft robot.

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Engineers have studied how insects navigate, for the purpose of developing energy-efficient robots.

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In an image, estimating the distance between objects and the camera by using the blur in the images as clue, also known as depth from focus/defocus, is essential in computer vision. However, model-based methods fail when texture-less surfaces are present, and learning-based methods require the same camera settings during training and testing. Now, researchers have come up with an innovative strategy for depth estimation that combines the best of both the worlds to solve these limitations, extending the applicability of depth from focus/defocus.

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For the first time, a hydrogel material made of nanocellulose and algae has been tested as an alternative, greener architectural material. The study shows how the abundant sustainable material can be 3D printed into a wide array of architectural components, using much less energy than conventional construction methods.

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Scientists demonstrate how GPT-3 can transform chemical analysis, making it faster and more user-friendly.

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Research involving has shown that a 'swarm' of more than 100 autonomous ground and aerial robots can be supervised by one person without subjecting the individual to an undue workload.

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A new system that brings together real-world sensing and virtual reality would make it easier for building maintenance personnel to identify and fix issues in commercial buildings that are in operation.

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A new patch uses tiny needles to measure electrical signals in the human body with incredible accuracy, even when these devices are stretched or twisted.

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Researchers have developed artificial muscles that are lighter, safer and more robust than their predecessors. The newly developed actuators have a novel type of shell structure and use a high-permittivity ferroelectric material that can store relatively large amounts of electrical energy. They therefore work with relatively low electrical voltage, are waterproof, more robust and safer to touch.

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A joint research team has developed a stretchable and adhesive microneedle sensor that can be attached to the skin and stably measure high-quality electrophysiological signals for a long period of time.

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Our built environment is aging and failing faster than we can maintain it. Recent building collapses and structural failures of roads and bridges are indicators of a problem that's likely to get worse, according to experts, because it's just not possible to inspect every crack, creak and crumble to parse dangerous signs of failure from normal wear and tear. In hopes of playing catch-up, researchers are trying to give robotic assistants the tools to help inspectors with the job.

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Researchers have developed a robotic sensor that incorporates artificial intelligence techniques to read braille at speeds roughly double that of most human readers.

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Artificial intelligence using neural networks performs calculations digitally with the help of microelectronic chips. Physicists have now created a type of neural network that works not with electricity but with so-called active colloidal particles.The researchers describe how these microparticles can be used as a physical system for artificial intelligence and the prediction of time series.

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Compared to robots, human bodies are flexible, capable of fine movements, and can convert energy efficiently into movement. Drawing inspiration from human gait, researchers from Japan crafted a two-legged biohybrid robot by combining muscle tissues and artificial materials. This method allows the robot to walk and pivot.

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Chemists have developed an autonomous chemical synthesis robot with an integrated AI-driven machine learning unit. Dubbed 'RoboChem', the benchtop device can outperform a human chemist in terms of speed and accuracy while also displaying a high level of ingenuity. As the first of its kind, it could significantly accelerate chemical discovery of molecules for pharmaceutical and many other applications.

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Two insect-like robots, a mini-bug and a water strider may be the smallest, lightest and fastest fully functional micro-robots ever known to be created. Such miniature robots could someday be used for work in areas such as artificial pollination, search and rescue, environmental monitoring, micro-fabrication or robotic-assisted surgery. Reporting on their work in the proceedings of the IEEE Robotics and Automation Society's International Conference on Intelligent Robots and Systems, the mini-bug weighs in at eight milligrams while the water strider weighs 55 milligrams. Both can move at about six millimeters a second.

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Scientists have successfully demonstrated new technologies that can obtain preserved tissue and high-resolution 3D images within minutes of encountering some of the most fragile animals in the deep ocean.

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This month, a group of stroke survivors in British Columbia will test a new technology designed to aid their recovery, and ultimately restore use of their limbs and hands. Participants will wear a new groundbreaking 'smart glove' capable of tracking their hand and finger movements during rehabilitation exercises.

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'Soft robots,' medical devices and implants, and next-generation drug delivery methods could soon be guided with magnetism -- thanks to a metal-free magnetic gel developed by researchers. Carbon-based, magnetic molecules are chemically bonded to the molecular network of a gel, creating a flexible, long-lived magnet for soft robotics.

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Scientists developed a soft fluidic switch using an ionic polymer artificial muscle that runs with ultra-low power to lift objects 34 times greater than its weight. Its light weight and small size make it applicable to various industrial fields such as soft electronics, smart textiles, and biomedical devices by controlling fluid flow with high precision, even in narrow spaces.