In a piece in Nature Machine Intelligence, Johns Hopkins researchers discuss how the coronavirus pandemic has driven unexpected innovations in automation, while at the same time revealing bottlenecks to deploying robotic systems in health care settings. They contend that advances in human-robot interaction—such as improving robots’ capabilities to feel, touch, and decide—will determine if the robots of tomorrow will help hospitals stay ahead of the next pandemic.
