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

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By breaking the laws of physics in a virtual reality environment, researchers find that changing the location of a virtual assistant's voice in specific ways can be used as a tool to build rapport with customers.

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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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Gait analysis systems measure certain metrics to give their results. These results then drive clinical treatment for gait correction. However, detailed gait analysis requires expensive equipment, and a lot of space, markers, time. Measurements from markerless, video-based gait analysis systems, on the other hand, are inaccurate. To improve upon existing systems, researchers have now combined RGB camera-based pose estimation and an inertial measurement unit sensor for gait analysis. This significantly reduces errors in the process.

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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 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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Gamers who buy 'loot boxes' are up to two times more likely to gamble, shows new research.

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

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Testing time perception in an unusually lifelike setting -- a virtual reality ride on a New York City subway train -- an interdisciplinary research team found that crowding makes time seem to pass more slowly.

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Researchers have devised a computer-based platform for drug discovery that could make the process more effective, more efficient and less costly.

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Researchers have developed an alternative positioning system that is more robust and accurate than GPS, especially in urban settings. The working prototype that demonstrated this new mobile network infrastructure achieved an accuracy of 10 centimeter. This new technology is important for the implementation of a range of location-based applications, including automated vehicles, quantum communication and next-generation mobile communication systems.

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A research team develops a fixed LiDAR sensor that can recognize all directions simultaneously.

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Researchers are combining psychological principles with innovative virtual reality technology to create a new immersive therapy for people with substance use disorders.

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An odor machine, so-called olfactometer, makes it possible to smell in VR environments. First up is a 'wine tasting game' where the user smells wine in a virtual wine cellar and gets points if the guess on aromas in each wine is correct. The new technology can be printed on 3D printers.

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After a decade of work, scientists have developed a suite of video game interventions that improve key aspects of cognition in aging adults.

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Depending on the initial conditions used, such as nutrient levels and space constraints, bacteria tend to grow in specific ways. Researchers have created a new type of encryption scheme based on how a virtual bacterial colony grows with specific initial conditions.

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Robotic eyes on autonomous vehicles could improve pedestrian safety, according to a new study. Participants played out scenarios in virtual reality (VR) and had to decide whether to cross a road in front of a moving vehicle or not. When that vehicle was fitted with robotic eyes, which either looked at the pedestrian (registering their presence) or away (not registering them), the participants were able to make safer or more efficient choices.

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A team has developed a novel approach for comparing neural networks that looks within the 'black box' of artificial intelligence to help researchers understand neural network behavior. Neural networks recognize patterns in datasets; they are used everywhere in society, in applications such as virtual assistants, facial recognition systems and self-driving cars.

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Engineers find a way to identify nanophotonic materials with the potential to improve screens for virtual reality and 3D displays along with optical technologies in general.

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To automatically generate data for training deep convolutional neural network models to segment building facades, researchers used a three-dimensional model and game engine to generate digital city twin synthetic training data. They found that a model trained on these data mixed with some real data was competitive with a model trained on real data alone, revealing the potential of digital twin data to improve accuracy and replace costly manually annotated real data.