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Categories: Engineering: Graphene, Engineering: Robotics Research

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Star Trek's Holodeck is no longer just science fiction. Using AI, engineers have created a tool that can generate 3D environments, prompted by everyday language.

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A team has taken the first atomic-resolution images and demonstrated electrical control of a chiral interface state -- an exotic quantum phenomenon that could help researchers advance quantum computing and energy-efficient electronics.

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Engineers designed modular, spring-like devices to maximize the work of live muscle fibers so they can be harnessed to power biohybrid robots.

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Researchers gave nanorobots a trait called adaptive time delay, which allows them to better work together.

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Researchers have developed a programmable meta-fluid with tunable springiness, optical properties, viscosity and even the ability to transition between a Newtonian and non-Newtonian fluid. The first-of-its-kind meta-fluid uses a suspension of small, elastomer spheres -- between 50 to 500 microns -- that buckle under pressure, radically changing the characteristics of the fluid. The meta-fluid could be used in everything from hydraulic actuators to program robots, to intelligent shock absorbers that can dissipate energy depending on the intensity of the impact, to optical devices that can transition from clear to opaque.

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There is room for just one small bottle in the world's first refrigerator that is cooled with artificial muscles made of nitinol, a nickel-titanium alloy. But the mini-prototype is groundbreaking: it shows that elastocalorics is becoming a viable solution for practical applications. This climate-friendly cooling and heating technology is far more energy-efficient and sustainable than current methods.

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Researchers are using semiconductors to harvest and convert the sun's energy into high-energy compounds that have the potential to produce environmentally-friendly fuels.

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A research team has addressed the long-standing challenge of creating artificial olfactory sensors with arrays of diverse high-performance gas sensors. Their newly developed biomimetic olfactory chips (BOC) are able to integrate nanotube sensor arrays on nanoporous substrates with up to 10,000 individually addressable gas sensors per chip, a configuration that is similar to how olfaction works for humans and other animals.

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What would you do if you walked up to a robot with a human-like head and it smiled at you first? You'd likely smile back and perhaps feel the two of you were genuinely interacting. But how does a robot know how to do this? Or a better question, how does it know to get you to smile back?

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Engineers aim to give robots a bit of common sense when faced with situations that push them off their trained path, so they can self-correct after missteps and carry on with their chores. The team's method connects robot motion data with the common sense knowledge of large language models, or LLMs.

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Scientists made a single-molecule transistor using quantum interference to control electron flow. This new design offers high on/off ratio and stability, potentially leading to smaller, faster, and more energy-efficient devices. Quantum interference also improves the transistor's sensitivity to voltage changes, further boosting its efficiency.

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A team of engineers has recently built a tissue-like bioelectronic mesh system integrated with an array of atom-thin graphene sensors that can simultaneously measure both the electrical signal and the physical movement of cells in lab-grown human cardiac tissue. This tissue-like mesh can grow along with the cardiac cells, allowing researchers to observe how the heart's mechanical and electrical functions change during the developmental process. The new device is a boon for those studying cardiac disease as well as those studying the potentially toxic side-effects of many common drug therapies.

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A team of researchers has developed a universal approach to controlling robotic exoskeletons that requires no training, no calibration, and no adjustments to complicated algorithms. Instead, users can don the 'exo' and go. Their system uses a kind of artificial intelligence called deep learning to autonomously adjust how the exoskeleton provides assistance, and they've shown it works seamlessly to support walking, standing, and climbing stairs or ramps.

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If it walks like a particle, and talks like a particle... it may still not be a particle. A topological soliton is a special type of wave or dislocation which behaves like a particle: it can move around but cannot spread out and disappear like you would expect from, say, a ripple on the surface of a pond. Researchers now demonstrate the atypical behavior of topological solitons in a robotic metamaterial, something which in the future may be used to control how robots move, sense their surroundings and communicate.

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Performing a new task based solely on verbal or written instructions, and then describing it to others so that they can reproduce it, is a cornerstone of human communication that still resists artificial intelligence (AI). A team has succeeded in modelling an artificial neural network capable of this cognitive prowess. After learning and performing a series of basic tasks, this AI was able to provide a linguistic description of them to a 'sister' AI, which in turn performed them.

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Engineers propose a new quantitative framework to account for and predict the impact of temperature on the curing speed of platinum-catalyzed silicone elastomers. The findings could maximize throughput and minimize waste in the manufacturing of components for soft robotics and wearables.

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Materials that are incredibly thin, only a few atoms thick, exhibit unique properties that make them appealing for energy storage, catalysis and water purification. Researchers have now developed a method that enables the synthesis of hundreds of new 2D materials.

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Advanced killer robots are more likely to blamed for civilian deaths than military machines, new research has revealed. The study shows that high-tech bots will be held more responsible for fatalities in identical incidents.

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The quadrupedal robot ANYmal went back to school and has learned a lot. Researchers used machine learning to teach it new skills: the robot can now climb over obstacles and successfully negotiate pitfalls.

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Recreating the action of opening doors in the virtual world requires engineering ways in which to provide the equivalent haptic feedback and steer users away from walls in the real world. A research group has done just this; developing RedirectedDoors+, which employs door robots and rotation to create a more realistic experience.