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Researchers are paving the way for the design of bionic limbs that feel natural to users. They demonstrate the connection between hand movement patterns and motoneuron control patterns. The study, published in Science Robotics, also reports the application of these findings to a soft prosthetic hand, which was successfully tested by individuals with physical impairments.

The research study sees the collaboration of two research teams, one at Istituto Italiano di Tecnologia (Italian Institute of Technology) in Genova, Italy, led by Antonio Bicchi, and Imperial College London, UK led by Dario Farina. It is the outcome of the project “Natural BionicS” whose goal is to move beyond the model of current prosthetic limbs, which are often abandoned by patients because they do not respond in a “natural” way to their movement and control needs.

For the central nervous system to recognize the bionic limb as “natural,” it is essential for the prosthesis to interact with the environment in the same way a real limb would. For this reason, researchers believe that the prostheses should be designed based on the theory of sensorimotor synergies and soft robotics technologies, first proposed by Antonio Bicchi’s group at IIT, such as the Soft-Hand robotic hand.

Recent technological advances have opened new possibilities for the development of assistive and medical tools, including prosthetic limbs. While these limbs used to be hard objects with the same shape as limbs, prosthetics are now softer and look more realistic, with some also integrating robotic components that considerably broaden their functions.

Despite these developments, most commercially available robotic limbs cannot be easily and intuitively controlled by users. This significantly limits their effectiveness and the extent to which they can improve people’s quality of life.

Researchers at the Italian Institute of Technology (IIT) and Imperial College London recently developed a new soft prosthetic hand that could be easier for users to control. This system, presented in a Science Robotics paper, leverages a new control approach that integrates the coordination patterns of multiple fingers (i.e., postural synergies) with the decoding of the activity of motoneurons in people’s spinal column.

Wandering salamanders are known for gliding high through the canopies of coastal redwood forests, but how the small amphibians stick their landing and take-off with ease remains something of a mystery.

A new study in the Journal of Morphology reveals the answer may have a lot to do with a surprising mechanism: blood-powered toes. The Washington State University-led research team discovered that wandering salamanders (Aneides vagrans) can rapidly fill, trap and drain the blood in their toe tips to optimize attachment, detachment and general locomotion through their arboreal environment.

The research not only uncovers a previously unknown physiological mechanism in salamanders but also has implications for bioinspired designed. Insights into salamander toe mechanics could ultimately inform the development of adhesives, prosthetics, and even robotic appendages.

Groundbreaking research uses brain stimulation to restore touch in prosthetics. Precise, stable sensations bring natural-like feedback closer, improving motor control and quality of life.


Summary: Researchers are making strides in restoring touch sensations to prosthetic limbs through brain stimulation. By using electrodes in the brain’s touch center, they can evoke stable, precise sensations, even allowing users to feel the shape and motion of objects.

This breakthrough could enable prosthetic users to perform tasks requiring fine motor control with confidence. Long-term tests show consistent sensation locations, critical for real-world usability.

Advanced stimulation patterns further enhance the tactile experience, mimicking natural touch. These innovations mark significant progress toward neuroprosthetics that improve quality of life for people with limb loss or sensory impairments.

Second, Synchron will explore the development of a groundbreaking foundation model for brain inference. By processing Synchron’s neural data on an unprecedented scale, this initiative will create scalable, interpretable brain-language models with the potential to transform neuroprosthetics, cognitive expression, and seamless interaction with digital devices.

“Synchron’s vision is to scale neurotechnology to empower humans to connect to the world, and the NVIDIA Holoscan platform provides the ideal foundation,” said Tom Oxley, M.D., Ph.D., CEO & Founder, Synchron. “Through this work, we’re setting a new benchmark for what BCIs can achieve.”


NEW YORK—()— Synchron, a category-defining brain-computer interface (BCI) company, announced today a step forward in implantable BCI technology to drive the future of neurotechnology. Synchron’s BCI technology, in combination with the NVIDIA Holoscan platform, is poised to redefine the possibilities of real-time neural interaction and intelligent edge processing.

Synchron will leverage NVIDIA Holoscan to advance a next-generation implantable BCI in two key domains. First, Synchron will enhance real-time edge AI capabilities for on-device neural processing, improving signal processing and multi-AI inference technology. This will reduce system latency, bolster privacy, and provide users with a more responsive and intuitive BCI experience. NVIDIA Holoscan provides Synchron with: (i) a unified framework supporting diverse AI models and data modalities; (ii) an optimized application framework, from seamless sensor I/O integration, GPU-direct data ingestion, to accelerated computing and real-time AI.

A research team from Yokohama National University has developed a novel approach to investigate how the orientation and behavior of electrons in titanium affect its physical properties. Their findings, published in Communications Physics on December 18, 2024, offer valuable insights that could lead to the creation of more advanced and efficient titanium alloys.

Titanium is highly prized for its exceptional resistance to chemical corrosion, lightweight nature, and impressive strength-to-weight ratio. Its biocompatibility makes it an ideal material for medical applications such as implants, prosthetics, and artificial bones, while its strength and durability make it indispensable in aerospace engineering and precision manufacturing.

Scientists have developed an advanced swarm navigation algorithm for cyborg insects that prevents them from becoming stuck while navigating challenging terrain.

Published in Nature Communications, the new algorithm represents a significant advance in . It could pave the way for applications in , search-and-rescue missions, and infrastructure inspection.

Cyborg insects are real insects equipped with tiny electronic devices on their backs—consisting of various sensors like optical and infrared cameras, a battery, and an antenna for communication—that allow their movements to be remotely controlled for specific tasks.

Princeton engineers have developed a scalable 3D printing technique to produce soft plastics with customizable stretchiness and flexibility, while also being recyclable and cost-effective—qualities rarely combined in commercially available materials.

In a study published in Advanced Functional Materials, a team led by Emily Davidson detailed how they used thermoplastic elastomers—a class of widely available polymers—to create 3D-printed structures with adjustable stiffness. By designing the 3D printer’s print path, the engineers could program the plastic’s physical properties, allowing devices to stretch and flex in one direction while remaining rigid in another.

Davidson, an assistant professor of chemical and biological engineering, highlighted the potential applications of this technique in fields such as soft robotics, medical devices, prosthetics, lightweight helmets, and custom high-performance shoe soles.

Stanford and Seoul National University researchers have developed an artificial sensory nerve system that can activate the twitch reflex in a cockroach and identify letters in the Braille alphabet.

The work, reported May 31 in Science, is a step toward creating artificial skin for prosthetic limbs, to restore sensation to amputees and, perhaps, one day give robots some type of reflex capability.

“We take skin for granted but it’s a complex sensing, signaling and decision-making system,” said Zhenan Bao, a professor of chemical engineering and one of the senior authors. “This artificial sensory nerve system is a step toward making skin-like sensory neural networks for all sorts of applications.”