Skip to main content

Scientists Discover Way to Send Information into Black Holes Without Using Energy

Scientists Built a Sea Urchin Like Robot That Doesn’t Need to Turn — It Moves in All Directions at Once

For a long time, nature has been the biggest inspiration for robotics. From the symmetry of a butterfly’s wings to the radial shape of a starfish or sea urchin, living organisms show how elegant design can produce strength, stability, and adaptability. Engineers have tried to copy these forms for decades, building robots that look like humans, dogs, insects, and even snakes.

But a new breakthrough from roboticists at Duke University suggests something very different: maybe the future of robotics is not about how a robot looks, but about how evenly it can move in every direction.

This idea has led to a completely new kind of machine called Argus—a robot that has no front, no back, and no obvious “correct” orientation. Instead, it is designed to move equally well in all directions, no matter how it is positioned in space.

The research has been published in the journal Science Robotics.


Beyond Shape: A New Way to Think About Robots

Traditionally, robotics has focused heavily on form. Humanoid robots walk like humans. Quadrupeds mimic dogs. Drones fly like simplified birds. The assumption has always been that nature’s shapes are the best blueprint for movement.

However, the Duke research team challenged this assumption. They proposed that shape is not the most important factor. Instead, what matters more is dynamic symmetry—a mathematical idea that measures how uniformly a robot can move in all directions.

In simple terms, a robot with high dynamic symmetry does not “prefer” any direction. It can accelerate, turn, and stabilize itself equally well no matter where it is facing.

To test this idea, the researchers simulated more than 1,500 different robot designs. Each design was evaluated based on how well it performed under this new symmetry-based framework. The result of this massive search was Argus—a design that came close to the theoretical limit of performance.


Meet Argus: The 360-Degree Robot

Argus is unlike anything seen in commercial robotics. Instead of having a head, legs, and a clear forward direction, it resembles a mechanical sea urchin.

Its structure is built around a central core with 20 modular, telescoping legs extending outward in all directions. Each leg is equipped with a depth camera, allowing the robot to see its surroundings from every angle at once.

These legs are arranged according to a precise geometric structure similar to a dodecahedron, a 12-faced 3D shape. This arrangement ensures that the robot has nearly uniform strength, movement ability, and vision in every direction.

In essence, Argus is always “ready” to move in any direction without needing to reorient itself first.


Why Dynamic Symmetry Matters

At the heart of Argus is the concept of dynamic symmetry, which assigns a score from 0 to 1 based on how evenly a robot can move its center of mass in all directions.

Most advanced robots today—including humanoids, quadrupeds, and drones—score below 0.6 on this scale. Argus reaches a score of 0.91, which is extremely close to the theoretical maximum.

This difference is not just numerical. It represents a fundamental shift in performance.

According to the research, as dynamic symmetry increases, robots become:

  • More stable on uneven terrain

  • More energy efficient

  • More resistant to damage

  • Better at tracking and controlling movement

  • More adaptable to unpredictable environments

In short, symmetry in motion leads to intelligence in behavior.


A Robot That Doesn’t Care Which Way It Faces

One of the most striking features of Argus is that it does not need a “front” or “back.” This removes a major limitation seen in most robots.

As explained by researchers, when a robot can move equally well in all directions, the idea of orientation becomes irrelevant. Left, right, forward, and backward effectively become the same thing.

This changes the entire logic of control systems. Instead of planning movement based on a fixed body orientation, the robot responds dynamically to forces and terrain from all sides.

This idea represents a shift from body-centered design to capability-centered design.


Real-World Performance: From Forests to Sand

In experiments conducted on the Duke University campus, Argus was tested in a variety of challenging environments, including forests, sandy ground, grass, wet surfaces, and uneven trails.

The robot demonstrated a wide range of abilities, including:

  • Moving smoothly across different terrains regardless of orientation

  • Climbing over obstacles up to five inches tall

  • Quickly stabilizing after being pushed or disturbed

  • Continuing to function even after damage to multiple legs

  • Carrying payloads of around 10 pounds while moving at speed

  • Climbing vertical walls by coordinating subsets of legs

  • Pushing and tracking large objects while continuously moving

What makes these results especially important is that many of these behaviors were learned in simulation and transferred successfully to real-world environments.


Whole-Body Vision and Movement

Argus is not only designed for movement—it is also designed for perception. Each of its 20 legs contains a depth camera, giving it a full 360-degree awareness of its surroundings.

This means perception and motion are tightly integrated. The robot does not “turn to look” at something. It is already seeing everything around it at all times.

This combination of whole-body sensing and whole-body movement allows Argus to react instantly to obstacles, changes in terrain, or external forces.


A Robot That Can Adapt and Recover

One of the most impressive features of Argus is its resilience. Even when multiple legs are disabled, the robot continues to function.

Because its design does not depend on any single “critical” direction or limb, it can redistribute movement and continue operating under damage conditions. This makes it highly suitable for unpredictable environments such as disaster zones, exploration missions, or planetary surfaces.


A New Framework for Building Robots

Beyond Argus itself, the most important contribution of the research is the concept of dynamic symmetry as a design principle.

Instead of designing robots based on appearance or imitation of animals, engineers can now evaluate and build machines based on a mathematical score of movement capability.

The researchers also released their full simulation dataset of 1,500 robot designs, allowing other teams to explore and expand on the idea.


A Step Toward Discovery Robotics

This work is part of a larger vision at Duke University called Discovery Robotics—a long-term effort to build machines that do not just execute tasks, but actively help discover new scientific principles.

Instead of asking “How do we build a robot for this job?”, the approach asks:
“What kind of body should exist to solve this problem in the first place?”

Argus represents an early answer to that question.


Conclusion: A Shift in How We Think About Machines

Argus is more than a robot—it is a proof that robotics design can move beyond imitation of biological forms. By focusing on symmetry in motion rather than shape, researchers have created a machine that is more flexible, more robust, and more adaptive than traditional designs.

Its ability to move equally well in all directions challenges decades of assumptions in robotics. It suggests that the future of machines may not look like animals or humans at all—but instead like entirely new geometries built around mathematical principles.

As the researchers note, Argus is only the beginning. It may represent the first member of a new class of robots designed not by copying life—but by discovering the fundamental rules of movement itself.

And in that sense, Argus is not just a robot. It is a new way of thinking about what robots can become.

Reference

  • Jiaxun Liu et al.
,
Extreme dynamic symmetry enables omnidirectional and multifunctional robots.Sci. Robot.11,eaec1725(2026).DOI:10.1126/scirobotics.aec1725

Comments

Popular

Scientists Discover Way to Send Information into Black Holes Without Using Energy

For years, scientists believed that adding even one qubit (a unit of quantum information) to a black hole needed energy. This was based on the idea that a black hole’s entropy must increase with more information, which means it must gain energy. But a new study by Jonah Kudler-Flam and Geoff Penington changes that thinking. They found that quantum information can be teleported into a black hole without adding energy or increasing entropy . This works through a process called black hole decoherence , where “soft” radiation — very low-energy signals — carry information into the black hole. In their method, the qubit enters the black hole while a new pair of entangled particles (like Hawking radiation) is created. This keeps the total information balanced, so there's no violation of the laws of physics. The energy cost only shows up when information is erased from the outside — these are called zerobits . According to Landauer’s principle, erasing information always needs energy. But ...

Black Holes That Never Dies

Black holes are powerful objects in space with gravity so strong that nothing can escape them. In the 1970s, Stephen Hawking showed that black holes can slowly lose energy by giving off tiny particles. This process is called Hawking radiation . Over time, the black hole gets smaller and hotter, and in the end, it disappears completely. But new research by Menezes and his team shows something different. Using a theory called Loop Quantum Gravity (LQG) , they studied black holes with quantum corrections. In their model, the black hole does not vanish completely. Instead, it stops shrinking when it reaches a very small size. This leftover is called a black hole remnant . They also studied something called grey-body factors , which affect how much energy escapes from a black hole. Their findings show that the black hole cools down and stops losing mass once it reaches a minimum mass . This new model removes the idea of a “singularity” at the center of the black hole and gives us a better ...

How Planetary Movements Might Explain Sunspot Cycles and Solar Phenomena

Sunspots, dark patches on the Sun's surface, follow a cycle of increasing and decreasing activity every 11 years. For years, scientists have relied on the dynamo model to explain this cycle. According to this model, the Sun's magnetic field is generated by the movement of plasma and the Sun's rotation. However, this model does not fully explain why the sunspot cycle is sometimes unpredictable. Lauri Jetsu, a researcher, has proposed a new approach. Jetsu’s analysis, using a method called the Discrete Chi-square Method (DCM), suggests that planetary movements, especially those of Earth, Jupiter, and Mercury, play a key role in driving the sunspot cycle. His theory focuses on Flux Transfer Events (FTEs), where the magnetic fields of these planets interact with the Sun’s magnetic field. These interactions could create the sunspots and explain other solar phenomena like the Sun’s magnetic polarity reversing every 11 years. The Sun, our closest star, has been a subject of scient...