Socially-Intelligent Robot To Help Stressed Nurses in Hospitals

Socially-Intelligent Robot To Help Stressed Nurses in Hospitals

A “socially-intelligent” robot with a friendly behavior has been developed to help stressed nurses in hospitals by performing several tasks. Now, the machine began its testing phase in a few US hospitals.

Developed by Texas-based Diligent Robotics, Moxi, as its creators named it, has the purpose of helping nurses by performing some simple logistical tasks including the gathering of medical equipment and refilling supply rooms.

Moxi boasts several cameras and LIDAR equipment which is a remote sensing technology that estimates distances by employing laser beams. It also has LED eyes and two arms capable of lifting up light-weighted medical materials. He also responds to calls and obeys commands by displaying a heart and rainbow symbols on its main screen to convey pleasure.

“Moxi’s goal as a robot is not to replace the jobs of people, but quite the opposite: to support people in their roles,” said Andrea Thomaz, CEO and co-founder of Diligent Robotics.

Moxi is a new socially-intelligent robot that helps stressed nurses by performing several tasks in hospitals

“As a friendly, sensitive and intuitive robot, Moxi not only alleviates clinical staff of routine tasks but does so in a non-threatening and supportive way that encourages positive relationships between humans and robots,” added Andrea Thomaz.

As reported by Diligent Robotics, this socially-intelligent robot can undertake 30 percent of the workload of nurses. However, it cannot yet help nurses with their patients’ visits.

Moxi, on the other hand, is the updated version of Poli, the previous robot Diligent Robotics developed to carry non-care task in hospitals. While Poli concluded its testing phase in January this year, the new socially-intelligent robot, Moxi, has just begun its trial period.

However, Moxi and Poli emerged following a report that concluded that using robots for care might help public health authorities save up to $13 billion.


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