Conheça o SwitchBot RGBICWW, luminária de teto com Matter nativo e efeito RGBIC para luzes vibrantes e personalizáveis.
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Engineers have developed a new robot that can swim underwater, then rise to the surface and take flight, in an aerial-aquatic feat that mimics some of nature’s most formidable fliers and swimmers.
Developed by researchers at the Massachusetts Institute of Technology (MIT) and the Swiss Federal Institute of Technology Lausanne (EPFL), the new robot’s capabilities could help launch a new generation of aerial-aquatic exploration vehicles.
Dubbed the “Flapping-Wing Aerial-Aquatic Vehicle” (FAAV), this lightweight robotic platform weighs less than 300 grams and can transition seamlessly between water and air with its very flexible flapping wings. Now, the team’s findings, published in the journal Science, could help scientists better understand how diving birds, which include puffins, petrels, loons, and gulls, are so adept at navigating two vastly different environments.
Such capabilities, the team says, could also pave the way toward advanced drones in the coming years that could transform ocean research.
Departing from conventional modern designs employed for aircraft or underwater vehicles, the team based their design on diving birds, which evolved to fly over water, then plunge beneath the waves to hunt for food, before surfacing and resuming flight.
One problem when it comes to replicating these abilities in robots involves the density of water, which is around 1,000 times denser than air. Because of this, the engineering team had to carefully balance the flexibility of the robotic wings in their design, along with flapping frequency, tail angle, and other factors that allowed the robot to move efficiently through both environments without requiring propellers or separate propulsion systems.
Experiments were undertaken by the team in the lab and in Switzerland’s Lake Geneva, and helped the team determine that the robot achieved best performance with medium-sized wings that flap at approximately five times per second. Under such conditions, the robot was able to swim one meter per second, then by pitching upward at a 70-degree angle, it could break through the surface, and continue this same movement to propel itself through the air.
Although the robot still has some limitations compared to the avian examples that inspired it, interestingly, it does appear to have one advantage: unlike diving birds, which paddle using their feet to achieve aquatic launches into the air, the new robot has no such requirement, and can transition from water to air relying only on its wings and adjustable tail.
In the future, drones equipped with such capabilities could be leveraged to monitor marine ecosystems in a variety of ways. The team also says it could help to observe environmental concerns, such as water near glaciers or offshore infrastructure, or even collect data from hazardous locations that are either too difficult or simply too costly for ships to reach.
“Our dream vision is for oceanographers, marine biologists, and members of coastal communities to launch this robot from a boat, or from shore, and it would fly close to the area of interest, such as an iceberg or a port facility, or over a pod of whales,” according to Raphael Zufferey, assistant professor of mechanical engineering at MIT.
“It would dive into the water to take a measurement or collect a sample, and fly back to deliver the data at a fraction of the cost of traditional methods. Then it could go back out to dive for more,” Zufferey recently told MIT News.
Drawing from movements in nature influenced by evolution, the researchers hope their bird-inspired design may eventually help scientists by introducing cost-effective, but formidable new tools to help obtain information from some of the most challenging environments, all with help from robots that can do what only nature’s diving birds could once achieve.
The achievement is detailed in a new paper, “Leaping out of the water: aerial-aquatic locomotion with flapping wings,” which appeared in the journal Science.
Micah Hanks is the Editor-in-Chief and Co-Founder of The Debrief. A longtime reporter on science, defense, and technology with a focus on space and astronomy, he can be reached at micah@thedebrief.org. Follow him on X @MicahHanks, and at micahhanks.com.
Engineers at Queen Mary University of London have created a tactile sensor, described in a study published in Science Advances, that allows robots to detect touch using a simple camera.
The sensor converts mechanical forces into visible color patterns, reducing the need for dense arrays of embedded sensors. Giacomo Sasso, a postdoctoral researcher at Queen Mary’s School of Engineering and Materials Science, led the team that developed this new sensor. Rather than relying on embedded electronic sensors, they created a soft material that changes color when pressed or bent.
This effect, known as structural color, is the same reason butterfly wings look iridescent without pigment. Pressure causes microscopic structures within the material to shift, altering how light reflects and creating a real-time visual indicator of force.
Most vision-based tactile sensors can map contact and force in detail, but only at the cost of heavy computation that slows them down. Simpler systems are faster, but sacrifice detail. The new material developed by Sasso’s team sidesteps this problem by building the sensing function into the material itself. With just a standard USB camera, researchers can track color changes on the surface and immediately infer pressure, strain, and contact shape without complex data reconstruction.
“You won’t guess how much information is generated when your finger presses a light switch. A human hand contains more than 10,000 mechanoreceptors to do the job, yet touch sensing remains one of the major challenges in robotics,” Sasso said. “We were happy to capture the finger ridges, as no existing technology can reproduce such sensor density at [a] comparable scale and simplicity. The key idea behind this project was to think outside the box: instead of embedding dense and overengineered sensor arrays, sensing is moved into the material itself, where mechanical cues are directly transformed into colour fields and captured using a simple low-cost USB camera.”
Professor James Busfield, one of the paper’s co-authors, described the advantage more simply: “What is particularly powerful is that the information is already in the light signal. You are no longer reconstructing touch – you are observing it directly.”
Reducing the computational demands of touch sensing opens up new possibilities. A robotic gripper made with this material could handle tiny parts more gently, since changes in force are immediately detectable. Prosthetic limbs equipped with similar sensors could also provide users with more detailed tactile feedback.
The researchers also see potential applications in surgery, where detecting subtle pressure differences could help clinicians interpret tissue properties.
Professor Federico Carpi from the University of Florence and Professor James Busfield from Queen Mary worked together on this project, merging years of separate work on stretchable sensors and polymer behavior into one material system. This allowed the team to use a mechanochromic material as the sensor itself, not just as a base for electronics.
Many approaches to robotic touch have relied on increasingly complex sensor arrays, wiring, and computing systems. Rather than adding more electronics, Sasso’s team’s approach allows the material itself to encode touch into visible color. It remains unclear whether this color-based method can be scaled for use in commercial robotic hands, but this work suggests that the future of robotic touch might rely as much on smart materials as on advanced electronics.
Austin Burgess is a writer and researcher with a background in sales, marketing, and data analytics. He holds an MBA, a Bachelor of Science in Business Administration, and a data analytics certification. His work focuses on breaking scientific developments, with an emphasis on emerging biology, cognitive neuroscience, and archaeological discoveries.
A scientist who worked on Tesla’s Optimus humanoid robot is now building a rival of his own — in Europe, not Silicon Valley.
Rémi Cadène, co-founder and CEO of Paris-based startup UMA, unveiled plans for a lightweight humanoid robot called Northstar and says the company is already talking to 50 potential customers.
A tiny green dot appearing in an image taken by NASA’s Mars Reconnaissance Orbiter (MRO) captures a historic tale of Red Planet exploration by one of its first Earthling visitors.
That visitor—a robotic rover named Perseverance—has been conducting investigations on Mars since February 18, 2021, and the new aerial images reveal its current location in an area that mission specialists have dubbed “Arbot.”
While Perseverance’s latest appearance reveals little more than a greenish spec on the planet’s rust-colored surface, also visible in the new images are the long path its formidable tires have left in the Martian soil as the robotic explorer has trekked west of its initial landing site.
The new images, captured on June 13, 2026, were taken just one day before Perseverance broke the previous distance record held by a robotic explorer on Mars: NASA’s Opportunity rover.
However, Perseverance completed this phase of its journey in record time compared to its predecessor, which took more than 11 years to traverse a similar distance. Perseverance, by contrast, covered the same distance in less than half that time, with just five years and four months of travel now behind it.
The images were made possible by the MROs’ High-Resolution Imaging Science Experiment (HiRISE) camera, which also captured surface features in the Arbot area that include ridges and windswept areas along Mars’ rugged exterior.
Built and operated by the University of Arizona, HiRISE captures images with resolutions as fine as about 25 centimeters (10 inches) per pixel, allowing researchers to distinguish features roughly the size of a kitchen table from orbit. The camera has returned hundreds of thousands of detailed images since the MRO arrived at Mars two decades ago, contributing to a growing data set that has transformed scientists’ understanding of the Red Planet.
Documenting everything from active dust avalanches and shifting dunes to fresh impact craters, the unprecedented resolution its imagery provides has made HiRISE one of the most powerful planetary imaging instruments ever deployed.
Last year, the MRO’s HiRISE camera also successfully captured images of the interstellar comet 3I/ATLAS as it made its way past Mars during its trip through our Solar System. Although the HiRISE images weren’t the clearest images of the interstellar visitor obtained during its visit, they did help demonstrate just how formidable NASA’s MRO and its suite of instruments are.
Additional details about Perseverance and its mission can be found at NASA’s official web page, and information about the MRO can be found here.
Micah Hanks is the Editor-in-Chief and Co-Founder of The Debrief. A longtime reporter on science, defense, and technology with a focus on space and astronomy, he can be reached at micah@thedebrief.org. Follow him on X @MicahHanks, and at micahhanks.com.
Google Messages lança chat oficial com chatbot para facilitar acesso às atualizações do app. Fique por dentro com interação prática.
O post Google Messages testa chat oficial com chatbot para novidades em tempo real apareceu primeiro em Blog do Edivaldo - Informações e Notícias sobre Linux.
A Nvidia continua a apostar no ecossistema de robótica e apresentou o primeiro sistema de segurança que prepara o ambiente para os robots agirem em ambientes dinâmicos, ao lado de trabalhadores humanos.
The post Nvidia lança o Halos para colocar robots a trabalhar ao lado de humanos em segurança appeared first on Tek Notícias.
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The elephant’s trunk is one of the animal world’s most formidable facial appendages; it is capable of tearing a tree limb from its base and, moments later, carefully lifting a single blade of grass.
Now, this combination of strength and precision is also helping to drive robotics research.
A boneless appendage that can both move heavy logs and peel fruit like a banana, the elephant’s trunk has long been studied by engineers seeking to understand how it can perform both powerful and delicate tasks effectively. Now, in a new study published in PNAS Nexus, researchers have identified the skin, rather than the underlying muscle, as a key factor in the versatility of this pachyderm appendage.
Lucia Beccai and colleagues at the Istituto Italiano di Tecnologia studied the trunk of an adult Asian elephant that died of natural causes at Zurich Zoo in 2020. They collected 35 samples from different regions of the trunk and analyzed them using biomechanical testing, histology, various imaging techniques, and computational modeling. The team’s analysis revealed a trunk that combines two very different mechanical strategies within a single structure.
The elephant trunk acts as a muscular hydrostat, similar to an octopus tentacle or the human tongue. With no bones and over 100,000 muscles, the trunk can stretch, compress, twist, and bend in any direction. The trunk achieves this flexibility through a combination of muscle power and specialized skin architecture. The study found that the trunk’s outer surface varies in structure depending on location and the types of forces it encounters.
The researchers identified clear differences between the upper and lower surfaces of the trunk, reflecting what scientists call functional anisotropy. The trunk’s upper surface serves as a tough, protective layer, which is over three times stiffer than the underside. In contrast, the trunk’s lower surface remains soft and flexible, allowing the elephant to grip objects with delicacy and precision.
The way elephants use their trunks reflects this structural difference. The upper surface faces the environment and absorbs impacts and abrasions. The underside is used for gripping objects. Its lower stiffness allows it to adapt to the shape of objects and hold them securely. The design of the elephant trunk may offer a solution to a persistent challenge that has stumped soft-robotics engineers in balancing protection and precision by assigning each function to a different layer of skin.
Another significant finding was made beneath the gripping surface. The researchers identified dome-shaped structures known as dermal papillae. Finite element modeling suggested that these structures act as subsurface mechanical lenses, concentrating mechanical stress in regions where sensory nerves are located.
This design could solve an additional problem in robotics: touch sensors are often fragile and require protective coatings that can reduce their sensitivity. The tissue in the elephant trunk appears to protect sensory structures while still allowing mechanical signals to reach them.
For Beccai’s group, which specializes in soft robotics, the possible design template represents a huge opportunity for their field. A robotic gripping device built on this idea would feature a stiff outer shell over a flexible inner layer, with structures underneath to direct pressure to protected sensors. This setup would keep sensitive electronics shielded while still allowing for mechanical feedback from touch.
This research adds to the growing scientific interest in the elephant trunk as a model for engineering. Another 2024 study in Communications Biology found that the trunk’s dermis is reinforced by tangled collagen fibers, creating skin armor thicker than an armadillo’s shell. Together, these studies show a structure optimized at every level, from the protein fibers in the dermis to the clear split between the upper and lower surfaces.
Today’s robotic hands still struggle to balance durability with sensitivity. The elephant trunk offers biological inspiration for this challenge, providing a model for future engineering designs.
Austin Burgess is a writer and researcher with a background in sales, marketing, and data analytics. He holds an MBA, a Bachelor of Science in Business Administration, and a data analytics certification. His work focuses on breaking scientific developments, with an emphasis on emerging biology, cognitive neuroscience, and archaeological discoveries.
Read more of this story at Slashdot.
Researchers built Sashimi-Bot to master one of robotics’ slipperiest challenges.Uma investigação britânica descobriu que o ChatGPT consegue contornar as leis e reproduzir imagens consideradas chocantes e ilegais, incluindo deepfakes e violência gráfica.
The post ChatGPT contorna regras e gera imagens chocantes com deepfakes e violência sexual appeared first on Tek Notícias.
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