Thursday, April 09, 2026

SPACE/COSMOS

 

Swiss researchers test robot dog designed to speed up Moon and Mars exploration

Legged robot performing analog tests in Marslabor at the University of Basel.
Copyright Credit: Dr. Tomaso Bontognali\

By Theo Farrant
Published on 

In recent trials, the dog-like robot completed missions three times faster than human-guided alternatives.

Swiss researchers are testing a semi-autonomous robot that could be used to explore Mars without constant human guidance, speeding up the search for minerals, water, and even traces of ancient life on other worldsor exoplanets.

The four-legged robot, named ANYmal, looks more like a robotic dog than a traditional rover. But strapped to its body is a robotic arm wielding a microscopic imager and a Raman spectrometer — a scanner that can read and identify the chemical fingerprint of a rock.

Researchers at the University of Basel have been putting ANYmal through its paces at their "Marslabor". This is a simulation facility designed to mimic the dusty and rocky surfaces of Mars and the Moon.

On the left: the robot performing autonomous measurements of a rock with MICRO and Raman. On the right: examples of images from the microscopic imager (MICRO).
On the left: the robot performing autonomous measurements of a rock with MICRO and Raman. On the right: examples of images from the microscopic imager (MICRO). Credit: Dr Gabriela Ligeza.

The objective set for ANYmal was straightforward: navigate independently, identify rocks of scientific interest, analyse them, and transmit the results — all without human guidance.

In the trials, recently published in Frontiers in Space Technologies, the robot successfully analysed multiple rocks in sequence, identifying gypsum (a soft, sulfate mineral), carbonates, basalts, and lunar-analogue materials such as dunite and anorthosite.

ANYmal completed missions autonomously in just 12 to 23 minutes. A human operator doing the same job took 41 minutes. However, it should be noted that human oversight produced slightly more detailed and marginally higher accuracy.

Current Mars rovers operate under near-constant supervision from Earth, covering only a few hundred metres per day. Employing a robot capable of making its own scientific decisions could dramatically accelerate the pace of exploration.

The study also reinforces that legged robots, which can step over obstacles and adjust to variable terrain, could reach scientifically valuable areas that wheeled rovers cannot.

Taken together, the research points toward a future in which robots like ANYmal are not just tools operated from afar, but active scientific participants, capable of independently hunting for biosignatures, the chemical traces that could indicate ancient life on faraway planets.


Astronomers have identified the most primitive star ever found



New research could lead to insights about the formation of the universe’s first stars



Johns Hopkins University





In the exurbs of the Milky Way, near a satellite galaxy called the Large Magellanic Cloud, researchers have discovered the most metal-poor, chemically primitive star ever found, according to new research from the Sloan Digital Sky Survey.  

Findings from the survey are published in the journal Nature Astronomy. 

Composed primarily of hydrogen and helium and containing less than 0.005% of the metals in the Sun, the chemical makeup of the star SDSS J0715-7334 is the closest analog yet found to the first stars that formed in the universe. Studying this low-mass, ultra-metal-poor star could help clarify astronomers’ ideas about the first generation of stars, called Population III stars, which astronomers cannot observe directly. 

“No Population III stars have ever been observed, either because they were massive, lived fast, and died young, or the lowest-mass Population III stars that could persist to the present day are extremely rare.  Either way, the properties of this first stellar generation are some of the most important unknowns in modern astrophysics,” said co-author Kevin Schlaufman, an associate professor of physics and astronomy at Johns Hopkins University. Schlaufman originally identified SDSS J0715-7334 as a star of interest in 2014 for follow up as part of the current fifth generation of the Sloan Digital Sky Survey. “While this star does not have a primordial composition itself, it is the closest astronomers have ever gotten to the Population III stellar generation on this particular metric.” 

SDSS J0715-7334 was formed from a gas cloud that had recently interacted with the material ejected by a Population III star’s supernova. Working backwards, astronomers can use the ratios of the elements in SDSS J0715-7334 to explore the mass of that Population III star and the energy of its supernova explosion. 

“These pristine stars are windows into the dawn of stars and galaxies in the universe,” said first author Alexander Ji, an assistant professor of astronomy and astrophysics at University of Chicago.  

A team of astronomers analyzed data gathered with the Magellan Clay Telescope and its high-resolution Magellan Inamori Kyocera Echelle spectrograph to determine that SDSS J0715-7334 is almost entirely hydrogen and helium with only trace amounts of carbon and iron.  

The composition of SDSS J0715-7334 indicates that the Population III star that produced its carbon and iron was both unusually massive and exploded with uncommon vigor, the researchers said.  

SDSS J0715-7334 is roughly 80,000 light years away in the vicinity of the Large Magellanic Cloud, the largest of the 100-200 small satellite galaxies that orbit the Milky Way. The Magellanic Clouds have only recently joined the Milky Way, and their long history of living alone has allowed them to ingest material from the cosmic web for a longer period than the Milky Way. Those conditions may have promoted the production of low-metallicity stars like SDSS J0715-7334. 

“It's possible that we’re going to find a relatively higher proportion of ultra-metal-poor stars in galaxies like the Magellanic Clouds than in our own Milky Way Galaxy,” said Schlaufman. 

As part of the Sloan Digital Sky Survey, the researchers will continue to study the Milky Way’s formation and evolution, with Schlaufman leading an effort to study the oldest stars in the Milky Way.   

“There is still lots to be done to understand what actually was going on in that era long, long ago when the Milky Way was young,” Schlaufman said. “We’ve only scratched the surface with this current phase of the Sloan Digital Sky Survey.” 

Authors include Vedant Chandra from the Harvard & Smithsonian Center for Astrophysics; Selenna Mejias-Torres, Zhongyuan Zhang, Hillary Diane Andales, Ha Do, Natalie Orrantia, Rithika Tudmilla, Pierre N. Thibodeaux, and Guilherme Limberg from the University of Chicago; Philipp Eitner, and Maria Bergemann from the Max Planck Institute of Astronomy; Keivan Stassun from Vanderbilt University; Madeline Howell, and Jennifer Johnson from The Ohio State University; Jamie Tayar from University of Florida; Andrew Casey and Riley Thai from Monash University; Joleen K. Carlberg from Space Telescope Science Institute; William Cerny from Yale University; José Fernández-Trincado from Universidad Católica del Norte; Keith Hawkins from The University of Texas; Juna Kollmeier from Carnegie Institution for Science; Chervin Laporte from Sorbonne Université; Tadafumi Matsuno from Heidelberg University; Szabolcs Mészáros from Eötvös Loránd University; Sean Morrison from University of Illinois at Urbana-Champaign; David Nidever from Montana State University; Guy Stringfellow from the University of Colorado; and Donald Schneider from The Pennsylvania State University. 

No comments:

Post a Comment