The applications of 3D printing span many industries, from aircraft fuel nozzles to dental aligners. Here we look at some of the most important uses of the technology.
AI-powered artificial muscles made from pliable materials are reshaping recovery, from stroke rehabilitation to prosthetic design. These machines help people regain motion, strength, and confidence.
Researchers at ETH Zurich have developed an innovative hand exoskeleton that helps persons after stroke re-learn how to grasp. Its accordion-like structure makes it light, robust and easy to integrate into everyday life.
In this episode, we cover Harvard's soft wearable robot that learns a patient's intent and provides just-enough support, helping stroke and ALS patients regain independence in everyday tasks.
AI-powered artificial muscles made from pliable materials are reshaping recovery, from stroke rehabilitation to prosthetic design. These machines help people regain motion, strength, and confidence.
MIT CSAIL researchers enhance robotic precision with sophisticated tactile sensors in the palm and agile fingers, setting the stage for improvements in human-robot interaction and prosthetic technology.
Stanford researchers have developed soft integrated circuits that are powerful enough to drive a micro-LED screen and small enough to read thousands of sensors in a single square centimeter.
3D printed Body-contouring Therapeutic Positioning Equipment provides support for people with mild to moderate control of the body and reduces damage caused by improper seating during child development.
In this episode, we discuss a novel sticker capable of monitoring the health of organs in real time allowing for more successful organ transplants and catching signs of diseases earlier than ever!
Prostheses that connect to the nervous system have been available for several years. Now, researchers at ETH Zurich have found evidence that neuroprosthetics work better when they use signals that are inspired by nature.
Researchers at EPFL have developed a new, uniquely modular machine learning model for flexible decision-making. It is able to input any mode of text, video, image, sound, and time-series and then output any number, or combination, of predictions.
In this episode, we discuss the shortcomings of previous attempts at making flexible wearable sensors and how researchers at CalTech have addressed them to create high performance stress sensor stickers.
For those with stroke, involuntary contractions of the hands and arms often follow. A simple, wearable vibrating glove may offer a more effective treatment.
As the IoT matures, analysts forecast that NB-IoT and LTE-M (cellular IoT) are likely to become the dominant technologies for connecting local area networks (LANs) or standalone wireless devices over kilometer distances to the Cloud.