Artificial Skin Gives Robots Sense of Touch and Beyond
06-02-22
A new artificial skin can now give robots the ability to sense temperature, pressure, and even toxic chemicals through a simple touch. The multimodal robotic-sensing platform, dubbed M-Bot, was developed in the lab of Wei Gao, Assistant Professor of Medical Engineering; Investigator, Heritage Medical Research Institute; Ronald and JoAnne Willens Scholar. It aims to give humans more precise control over robots while also protecting the humans from potential hazards. "I think we have shown a proof of concept," says Gao. "But we want to improve the stability of this robotic skin to make it last longer. By optimizing new inks and new materials, we hope this can be used for different kinds of targeted detections. We want to put it on more powerful robots and make them smarter, more intelligent." [Caltech story]
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Wei Gao
You Yu
Jiahong Li
Samuel Solomon
Jihong Min
Changhao Xu
Jiaobing Tu
Yu Song
Wei Gao Receives 3M Non-Tenured Faculty Award
03-08-21
Wei Gao, Assistant Professor of Medical Engineering, has been selected to receive the prestigious 3M Non-Tenured Faculty Award from 3M Corporation. This award recognizes outstanding new faculty who were nominated by 3M researchers and selected based on their research, experience and academic leadership. The purpose of the award is to help the faculty members achieve tenure, remain in their teaching position, and conduct research.
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New Device Powers Wearable Sensors Through Human Motion
10-16-20
Wei Gao, Assistant Professor of Medical Engineering, has been developing sensors as well as novel approaches to power them. Previously, he created a sensor that could monitor health indicators in human sweat that is powered by sweat itself. Now, Gao has developed a new way to power wireless wearable sensors: He harvests kinetic energy that is produced by a person as they move around. "Instead of using fancy materials, we use commercially available flexible circuit boards," he says. "This material is cheap and very durable and mechanically robust over long periods of time." [Caltech story]
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Professor Gao Unveils Sensor that Rapidly Detects COVID-19 Infection Status, Severity, and Immunity
10-02-20
One feature of the COVID-19 virus that makes it so difficult to contain is that it can be easily spread to others by a person who has yet to show any signs of infection. Wei Gao, Assistant Professor of Medical Engineering, has developed a new type of multiplexed test (a test that combines multiple kinds of data) with a low-cost sensor that may enable the at-home diagnosis of a COVID infection through rapid analysis of small volumes of saliva or blood, without the involvement of a medical professional, in less than 10 minutes. "This is the only telemedicine platform I've seen that can give information about the infection in three types of data with a single sensor," Gao says. "In as little as a few minutes, we can simultaneously check these levels, so we get a full picture about the infection, including early infection, immunity, and severity." [Caltech story]
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