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3D-printed microrobots adapt to diverse environments with modular design

Microrobots, small robotic systems that are less than 1 centimeter (cm) in size, could tackle some real-world tasks that cannot be completed by bigger robots. For instance, they could be used to monitor confined spaces and remote natural environments, to deliver drugs or to diagnose diseases or other medical conditions.

Researchers at Seoul National University recently introduced new modular and durable microrobots that can adapt to their surroundings, effectively navigating a range of environments. These , introduced in a paper published in Advanced Materials, can be fabricated using 3D .

“Microrobots, with their insect-like size, are expected to make contributions in fields where conventional robots have struggled to operate,” Won Jun Song, first author of the paper, told Tech Xplore. “However, most microrobots developed to date have been highly specialized, tailored for very specific purposes, making them difficult to deploy across diverse environments and applications. Our goal was to present a new approach toward creating general-purpose microrobots.”

Preventing overhydration: Study uncovers a neural circuit that prompts mice to stop drinking

Identifying the neural mechanisms that support the regulation of vital physiological processes, such as drinking, eating and sleeping, is a long-standing goal within the neuroscience research community. As the disruption of these processes can severely impact people’s health and everyday functioning, uncovering their neural and biological underpinnings is of the utmost importance.

New insights gathered by neuroscientists could ultimately inform the development of more effective interventions designed to regulate vital physiological processes. Thirst and hunger are known to be regulated by homeostatic processes, biological processes that allow the body to maintain internal stability.

Yet behavior can also be anticipatory, which means that animals and humans often adjust their actions (i.e., stop drinking) before the concentration of substances in the blood changes in response to drinking water. The mechanisms through which the brain predicts when it is the right time to stop drinking remain poorly understood.

Ultrasensitive sensor maps magnetization textures in rhombohedral graphene

Graphene, which is comprised of a single layer of carbon atoms arranged in a hexagonal lattice, is a widely used material known for its advantageous electrical and mechanical properties. When graphene is stacked in a so-called rhombohedral (i.e., ABC) pattern, new electronic features are known to emerge, including a tunable band structure and a non-trivial topology.

Due to these emerging properties, electrons in rhombohedral can behave as if they are being influenced by “hidden” magnetic fields, even if no is applied to them. While this interesting effect is well-documented, closely studying how electrons organize themselves in the material, with their spins and valley states pointing in different directions, has so far proved challenging.

Researchers at Weizmann Institute of Science recently set out to further examine the local magnetization textures in rhombohedral graphene, using a nanoscale superconducting quantum interference device (nano-SQUID). Their paper, published in Nature Physics, offers new insight into the physical processes governing the correlated states previously observed in the material.

A continuous totipotent-like cell-based embryo model recapitulates mouse embryogenesis from zygotic genome activation to gastrulation

The authors identify a chemical cocktail to generate totipotent-like cells, which they then use to build an embryo model. This model captures a developmental spectrum from early embryogenesis to post-implantation events.

Checking the quality of materials just got easier with a new AI tool

Manufacturing better batteries, faster electronics, and more effective pharmaceuticals depends on the discovery of new materials and the verification of their quality. Artificial intelligence is helping with the former, with tools that comb through catalogs of materials to quickly tag promising candidates.

But once a material is made, verifying its quality still involves scanning it with specialized instruments to validate its performance — an expensive and time-consuming step that can hold up the development and distribution of new technologies.

Now, a new AI tool developed by MIT engineers could help clear the quality-control bottleneck, offering a faster and cheaper option for certain materials-driven industries.

Five crucial Earth systems near a tipping point: Report

Five of Earth’s vital systems are close to a point of irreversible change, warns a new report released by a global network of scientists ahead of the upcoming U.N. climate change conference in Brazil.

The 2025 Global Tipping Points report updates a 2023 report to assess 25 Earth systems that human societies and economies depend on, including the stability of coral reefs, forests and ice sheets. It found at least one system has likely passed a tipping point, while four others are perilously close.

The Paris Agreement set a goal of limiting global warming to 1.5° Celsius (2.7° Fahrenheit) above preindustrial levels by 2100. The report notes that Earth has already reached an average increase of 1.4°C (2.5°F) over the past couple decades.

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