The contagious nature of COVID-19 puts medical personnel at risk of contracting the virus from the patients they treat. A startup co-founded by University of Texas at Austin ラーメンベット 入金スピード professor Andrea Thomaz just landed million in investment to ramp up production of medical robots that could prove a valuable tool in helping doctors and nurses treat patients amid the novel coronavirus outbreak.
Diligent Robotics makes a robot called ラーメンベット 入金スピード that can fetch and deliver supplies with a grabbing arm, among other capabilities. ラーメンベット 入金スピード’s primary function is to take care of smaller routine tasks that allow nurses and other health care workers put even more focus on patients. And, since robots can’t catch human illnesses, ラーメンベット 入金スピード could help doctors and nurses stay healthy as they treat COVID-19 patients.
“Now more than ever hospitals are under enormous stress, and the people bearing the most risk in this pandemic are the nurses and clinicians at the frontlines of patient care,” Thomaz wrote in a blog post about the company’s funding round. “Our mission with ラーメンベット 入金スピード has always been focused on relieving tasks from nurses, giving them more time to focus on patients, and today that mission has a newfound meaning and purpose.”
The startup works with hospitals to train ラーメンベット 入金スピード to perform tasks and learn its way around a facility. In the future, Diligent Robotics wants ラーメンベット 入金スピード to be able to quickly learn new tasks, so it can adapt to hospital needs on the fly.
Several ラーメンベット 入金スピード robots have been deployed in Dallas, and the startup is working with two of the three leading U.S. hospital networks as well. Diligent Robotics has raised .75 million in its lifetime, and it is on the fifth version of the robot.
Thomaz is an associate professor in the ラーメンベット 禁止ゲーム of ラーメンベット 入金スピード’s Department of Electrical and Computer ラーメンベット 入金スピード and runs the Socially Intelligent Machines Lab at UT, where her team of researchers and graduate students develop robots similar to Moxi.
She joined Texas ラーメンベット 入金スピード in 2016 and holds the William J. Murray Jr. Fellowship in ラーメンベット 入金スピード #3. Thomaz received her B.S. in electrical and computer ラーメンベット 入金スピード from UT Austin in 1999 before going on to earn her Ph.D. in social robotics from the Massachusetts Institute of Technology and teach at the Georgia Institute of Technology.
