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Categories: Engineering: Robotics Research, Mathematics: Modeling
Published Engineers design soft and flexible 'skeletons' for muscle-powered robots



Engineers designed modular, spring-like devices to maximize the work of live muscle fibers so they can be harnessed to power biohybrid robots.
Published Novel robust-optimal controllers based on fuzzy descriptor system



The Takagi--Sugeno (T--S) fuzzy descriptor system offers a promising avenue for controlling non-linear systems but lacks optimal control strategies. Moreover, while robust control methods have been developed, they add additional complexity. To address these limitations, a team of researchers has developed novel optimal and robust-optimal controllers based on the T--S fuzzy descriptor model, holding great potential for enhanced autonomous systems.
Published Can language models read the genome? This one decoded mRNA to make better vaccines



Researchers developed a foundational language model to decode mRNA sequences and optimize those sequences for vaccine development. The tool shows broader promise as a means for studying molecular biology.
Published 'Smart swarms' of tiny robots inspired by natural herd mentality



Researchers gave nanorobots a trait called adaptive time delay, which allows them to better work together.
Published Computer scientists show the way: AI models need not be SO power hungry



The development of AI models is an overlooked climate culprit. Computer scientists have created a recipe book for designing AI models that use much less energy without compromising performance. They argue that a model's energy consumption and carbon footprint should be a fixed criterion when designing and training AI models.
Published Intelligent liquid



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.
Published Elastocaloric cooling: Refrigerator cools by flexing artificial muscles



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.
Published The math problem that took nearly a century to solve: Secret to Ramsey numbers



Little progress had been made in solving Ramsey problems since the 1930s. Now, researchers have found the answer to r(4,t), a longstanding Ramsey problem that has perplexed the math world for decades.
Published Physics-based predictive tool will speed up battery and superconductor research



Researchers have developed physics-based guidelines that will benefit host-guest intercalated materials research. By using only two guest properties and eight host-derived descriptors, they correctly predicted the intercalation energies and stabilities of many host-guest systems. This work is an important advance that will minimize the extensive trial-and-error laboratory work that otherwise slows down research and development in battery and superconductor technologies.
Published Artificial intelligence boosts super-resolution microscopy



Generative artificial intelligence (AI) might be best known from text or image-creating applications like ChatGPT or Stable Diffusion. But its usefulness beyond that is being shown in more and more different scientific fields.
Published Revolutionary biomimetic olfactory chips to enable advanced gas sensing and odor detection



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.
Published Robot, can you say 'cheese'?



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?
Published Engineering household robots to have a little common sense



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.
Published Rectifying AI's usage in the quest for thermoelectric materials



AI is revolutionizing the way researchers seek to identify new materials, but it still has some shortcomings. Now, a team of researchers has navigated AI's pitfalls to identify a thermoelectric material that boasts remarkable properties.
Published Physicists develop modeling software to diagnose serious diseases



Researchers have recently published FreeDTS -- a shared software package designed to model and study biological membranes at the mesoscale -- the scale 'in between' the larger macro level and smaller micro level. This software fills an important missing software among the available biomolecular modeling tools and enables modeling and understanding of many different biological processes involving the cellular membranes e.g. cell division.
Published Universal controller could push robotic prostheses, exoskeletons into real-world use



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.
Published Robotic metamaterial: An endless domino effect



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.
Published Powerful new AI can predict people's attitudes to vaccines



A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19.
Published Two artificial intelligences talk to each other



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.
Published New technique helps AI tell when humans are lying



Researchers have developed a new training tool to help artificial intelligence (AI) programs better account for the fact that humans don't always tell the truth when providing personal information. The new tool was developed for use in contexts when humans have an economic incentive to lie, such as applying for a mortgage or trying to lower their insurance premiums.