UT Arlington research team wins $1.35 million NSF grant to develop smart skin applications, sensor garments for robots
Imagine a human-like robot with skin and clothes embedded with sensors that could help machine accurately perceive the environment and better assist human owners. Such “smart” robots are at the heart of a new $1.35 million National Science Foundation project led by Dan Popa, a UT Arlington associate professor of electrical engineering . Popa is the principal investigator of a collaborative effort to advance robots and robotic devices, improve prosthetics and enable those devices to perform tasks that people can no longer do themselves. “Our goal is to make