Toggle light / dark theme

Brain-machine interface enthusiasts often gush about “closing the loop.” It’s for good reason. On the implant level, it means engineering smarter probes that only activate when they detect faulty electrical signals in brain circuits. Elon Musk’s Neuralinkamong other players—are readily pursuing these bi-directional implants that both measure and zap the brain.

But to scientists laboring to restore functionality to paralyzed patients or amputees, “closing the loop” has broader connotations. Building smart mind-controlled robotic limbs isn’t enough; the next frontier is restoring sensation in offline body parts. To truly meld biology with machine, the robotic appendage has to “feel one” with the body.

This month, two studies from Science Robotics describe complementary ways forward. In one, scientists from the University of Utah paired a state-of-the-art robotic arm—the DEKA LUKE—with electrically stimulating remaining nerves above the attachment point. Using artificial zaps to mimic the skin’s natural response patterns to touch, the team dramatically increased the patient’s ability to identify objects. Without much training, he could easily discriminate between the small and large and the soft and hard while blindfolded and wearing headphones.

In work that combines a deep understanding of the biology of soft-bodied animals such as earthworms with advances in materials and electronic technologies, researchers from the United States and China have developed a robotic device containing a stretchable transistor that allows neurological function.

Cunjiang Yu, Bill D. Cook Associate Professor of Mechanical Engineering at the University of Houston, said the work represents a significant step toward the development of prosthetics that could directly connect with the in biological tissues, offering to , as well as toward advances in soft neurorobots capable of thinking and making judgments. Yu is corresponding author for a paper describing the work, published in Science Advances.

He is also a principal investigator with the Texas Center for Superconductivity at the University of Houston.

Back in 2011 we looked at an array of small hexagonal plates created to serve as an electronic skin that endows robots with a sense of touch. The team responsible had placed 31 of these hexagonal “skin cells” on a small robot, but now they’ve gone a lot further, equipping a human-sized robot with 1,260 cells to create what they claim is the first autonomous humanoid robot with artificial skin covering its entire body – even the soles of its feet.

In the eight years since the original touchy-feely robot, Professor Gordon Cheng and his team at the Technical University of Munich (TUM) have refined the look of the individual sensor cells, but they still boast the same basic capabilities. They’re still hexagonal in shape, allowing them to be placed in a honeycomb arrangement, and they can still measure proximity, pressure, temperature and acceleration.

But the main hurdle the team faced in expanding the number of cells so as to fully cover a human-sized robot was computing power, and it’s here that the team is claiming a breakthrough. Continuously processing data from more than a few hundred sensors quickly overloaded previous systems, so the team took inspiration from an approach employed by the human nervous system.

Sensitive synthetic skin enables robots to sense their own bodies and surroundings—a crucial capability if they are to be in close contact with people. Inspired by human skin, a team at the Technical University of Munich (TUM) has developed a system combining artificial skin with control algorithms and used it to create the first autonomous humanoid robot with full-body artificial skin.

The developed by Prof. Gordon Cheng and his team consists of hexagonal about the size of a two-euro coin (i.e. about one inch in diameter). Each is equipped with a microprocessor and sensors to detect contact, acceleration, proximity and temperature. Such artificial enables robots to perceive their surroundings in much greater detail and with more sensitivity. This not only helps them to move safely. It also makes them safer when operating near people and gives them the ability to anticipate and actively avoid accidents.

The themselves were developed around 10 years ago by Gordon Cheng, Professor of Cognitive Systems at TUM. But this invention only revealed its full potential when integrated into a sophisticated system as described in the latest issue of the journal Proceedings of the IEEE.

An organic material that can repeatedly change shape without breaking would have many useful applications, such as artificial muscles, pumps or as a switch. Physicists at Radboud University accidentally discovered a material with that property. Their findings were published in the scientific journal Nature Communications today October 8, 2019.

“I tend to call it the ‘molecular pinball machine,’” says Theo Rasing, professor of Spectroscopy of Solids and Interfaces at Radboud University. Together with colleagues from Nijmegen and China, he demonstrates the shape-changing abilities of the material by having it fling a glass bead at high speed. In that process, the organic crystal material called 4-DBpFO delivers a force corresponding to ten thousand times its own weight.

The crystals have the unique property of significantly changing shape at small temperature variations around 180 degrees Celsius and doing so without breaking, which allows for that change to be repeated hundreds of times.

A first: paralyzed man uses brain signals to control a robot exoskeleton.


Doctors who conducted the trial said though the device was years away from being publicly available, it had the potential to improve patients’ quality of life and autonomy.

The patient, identified only as Thibault, 28, from Lyon, said the technology had given him a new lease of life. Four years ago his life was permanently changed when he fell 40ft (12 metres) from a balcony, severing his spinal cord and leaving him paralysed from the shoulders down.

“When you are in my position, when you can’t do anything with your body … I wanted to do something with my brain,” Thibault said.