Some applications Mostofi hoped to see included search and rescue, surveillance, occupancy detection, object classification, archeology, robotic networks, and localization for smart environments.

“Taking it to some of these domains requires further development and research tailoring it that specific area,” she said.

While Mostofi has high hopes for this technology in the future, she has to overcome a few setbacks first.

“The received signal carries the information of the visited occluded objects,” she said. “However, this information is completely buried and mixed up in the received signal, meaning that extracting this information is very challenging, which is what we have been working on. It requires addressing several challenges in wave modeling, signal processing and robot navigation.”

More information about the technology is available here.

About Christina Cardoza

Christina Cardoza, formerly known as Christina Mulligan, is the Online & Social Media Editor of SD Times. She covers agile, DevOps, AI, machine learning, mixed reality and software security. Follow her on Twitter at @chriscatdoza!