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Fewer fields have witnessed advancements on the same scale as robotics. There have been many inspirations — from dogs to humans — for scientists and engineers to design a robot. We have seen these machines walk beside their owners, perform acrobatics, and even assist humans in identifying and lifting work in warehouses. That the robots can navigate through air, water, and land is a well-established fact, but a frontier that remained vastly unexplored for these machines is the ground under our feet. Now, a team of engineers at the University of California, Santa Barbara (UCSB) and Georgia Institute of Technology have designed a snake-like robot that has the ability to navigate underground.

The robot uses a wide range of methods to burrow beneath the earth in soft sand or soil. The study — Controlling subterranean forces enables a fast, steerable, burrowing soft robot — was published last month in Science Robotics.

Following the results, the team concluded a steerable, root-like soft robot that controls subterranean lift and drags forces to burrow faster than previous approaches by over an order of magnitude and does so through real sand. According to Science Robotics, the discovery, the team says, advances the understanding and capabilities of robotic subterranean locomotion.

Nicholas Naclerio, a graduate student researcher in the lab of UC Santa Barbara, said that the biggest challenge when it comes to moving through the ground is the forces involved, something the authors referred to in the abstract of their paper as well. “If you’re trying to move through the ground, you have to push the soil, sand or another medium out of the way,” Naclerio was quoted as saying by The Current, the official news site of UC Santa Barbara.

Many may find it surprising but this robot is not really a high-tech one and is made of airtight, ripstop nylon fabric. Naclerio said that the team drew inspiration directly from plant roots that grow from their tips to extend deep into the soil. So, when the robot extends from its tip, it avoids friction along its sides, and can then take any direction.

Besides plants, Naclerio said that the team also took inspiration from the southern sand octopus, which expels a jet of water to help burrow into the seafloor. Our robot blows air from its tip to fluidise the sand near its tip, which reduces the force it needs to burrow into the ground, he said. And a sandfish lizard, which uses its wedge-shaped head to burrow into sand, was the inspiration behind it.


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Aeneas AI Model Helps Decode and Restore Ancient Roman Inscriptions

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Aeneas AI Model Helps Decode and Restore Ancient Roman Inscriptions

Ancient Roman Inscriptions help us understand laws, traditions, economy, and even the emotional perspective of ancient people. Their lives and histories, however, have been rendered difficult to understand because, over time, the inscriptions have been damaged. Every year, there are 1500 Roman inscriptions discovered, albeit many of them are incomplete. Fortunately, advancements in technology like the new Aeneas tool, is helping in the future understanding of the Roman inscriptions. It serves as a large language model specializing in reading, interpreting, and giving context to Roman inscriptions.

Decode Ancient Roman Inscriptions

As Per Report,Drawing its name from a hero in Roman history, Aeneas, the model has been trained on nearly 200,000 latian inscriptions, which span from the 7th century to the 8th century covering regions from Portugal to Iraq.Aneas has the capability to analyze images of damaged inscriptions and predict or even fill in missing letters or words. In addition to that, it is able to determine a time frame and location for the inscription, as well as cross-reference it with other inscriptions containing similar phrases or purposes.

Making History Clearer Through Technology

Since Aeneas is trained exclusively on Latin inscriptions, specialists believe that he is less prone to random or false errors when compared to general AI approaches. University of Sydney historian Anne Rogerson remarked that Aeneas’s proposals, as informed guesses, still involve real historical data as opposed to baseless conjectures.

Despite the model’s open availability,Made public alongside the model’s code and data, Aeneas’s creator, Google DeepMind, offered the model without restrictions.

Most impressively, Aeneas can be accessed for free, enabling students and researchers to shift through and reinterpret previously concealed fragments of Roman history to understand them on a deeper level.

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Robot Drummer: Humanoid Robot Learns to Play Drums with Human-Like Precision

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Robot Drummer: Humanoid Robot Learns to Play Drums with Human-Like Precision

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Robot Drummer: Humanoid Robot Learns to Play Drums with Human-Like Precision

Human-like designed robots have so far been tested for the assistive and manual tasks such as carrying objects, assisting in physical therapy and supporting elderly individuals. Their potential in expressive and creative fields, such as arts and music performance have introduced Robot Drummer which is a humanoid robot capable of drum playing both expressively and precisely. This project’s objective is to explore that robots could perform in rhythm and artistic roles.

Exploring Creativity in Humanoid Robotics

As per Tech Explore, the concept started from the casual coffee break gathering between the first author and the co-author, Asad AIi and Los Roveda respectively. They saw that humanoid robots are great at practical tasks and drumming was observed as a challenge, with combining rhythm, physical skill and coordination.

To get this, the team made a system which represents music as the rhythmic contact chain, which is a sequence of the events which signals which drum to strike and when. With the help of these cues, the robot has been trained in a simulated milieu, learning to perform the realistic techniques including switching sticks, adapting movements for efficiency and crossing arm.

Robot Drummer’s Skills and Future Potential

Tests were conducted on the simulated G1 Unitree humanoid robot, playing full drum tracks of songs from jazz to rock and metal. These included “Take Five” by Dave Brubeck, Living on a Prayer” by Bon Jovi, and “In the End” by Linkin Park. The robot achieved over 90% rhythmic accuracy, demonstrating the ability to master complex patterns.

The robot has been designed to use the ability of human drummers, such as anticipating upcoming dynamically adjusting hand positions and beats. These behaviors emerged naturally from the training process, guided by rhythmic performance rewards. The researchers believe this opens doors for robotic performers in live entertainment and other precision-based tasks.

The team’s next goal is to transfer these learned skills from simulation to a physical robot. They also aim to enable improvisation, allowing the robot to adjust its style in real time based on musical cues. This could give future robotic drummers the ability to respond to music with a level of expression closer to human musicians.

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Twisted Jet Confirms Most Extreme Binary Black Hole System in the Universe

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Twisted Jet Confirms Most Extreme Binary Black Hole System in the Universe

Astronomers using a global radio telescope array have captured a record-sharp image of the blazar OJ 287, showing its particle jet is sharply bent. This twisted jet provides compelling evidence that OJ 287’s core contains not one but two supermassive black holes in a tight orbit. For decades, OJ 287’s ~12-year cycle of flares hinted at a secondary black hole, and the new image confirms that model. In fact, this appears to be the most extreme binary black hole system ever observed. Researchers say the finding makes OJ 287 “an ideal candidate for further research into merging black holes and the associated gravitational waves”.

Twisted Jet Reveals a Cosmic Duo

According to the study, using an Earth-space radio interferometer, astronomers produced an ultra-sharp image of OJ 287’s center. The image shows the jet bends sharply three times within ~0.3 light-year and swings by about 30° over a few years. Such dramatic twists so close in are naturally explained by a second black hole tugging on the jet’s base. This fits the picture of OJ 287’s 12-year flare cycle: a ~150-million-solar-mass companion plunges through the primary’s accretion disk roughly every 12 years, triggering bright outbursts and bending the jet. The observations even caught a shock wave forming in the jet, unleashing a burst of gamma rays seen by NASA’s Fermi and Swift satellites. Astronomers say this twisted, ribbon-like jet is the clearest evidence yet of two supermassive black holes locked in a gravitational tug-of-war.

Implications for Black Hole Evolution

OJ 287’s black holes will eventually merge, but that won’t happen for a very long time. In the meantime, their orbit sends out ultra-long-wavelength gravitational waves that current detectors cannot pick up. Scientists expect pulsar-timing arrays – which monitor the ticking of distant neutron stars – may detect this faint gravitational-wave signal. Looking farther ahead, future space missions like ESA/NASA’s planned LISA observatory (2030s) could catch the final merger of such supermassive pairs.

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Hubble Delivers Best View Yet of Rare Interstellar Comet 3I/ATLAS Racing Through Solar System

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