DOTmed May 17, 2021
John R. Fischer

Computer scientists at the University of California San Diego have created a navigation system that enables robots in the ER to move through hectic clinical environments without getting in the way of busy clinicians as they tend to patients in critical or serious condition.

Known as the Safety Critical Deep Q-Network (SafeDQN), the navigation system is built with an algorithm that tracks how many people are together in a space and how quickly or abruptly they are moving. Its purpose is to help robots continue supporting emergency workflow by delivering supplies and materials to physicians and nurses without distracting clinicians caring for high-acuity patients, according to Professor Laurel Riek.

“To our knowledge, this is the first work that presents an...

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Topics: AI (Artificial Intelligence), Health System / Hospital, Patient / Consumer, Provider, Robotics/RPA, Technology
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