Personalizing object handover with an electronic health record

Abstract

Comfortable object handover involves searching for a person, identifying them, and then actually handing them an object. It is a goal of many robotics applications, particularly in healthcare. But people can have a wide variety of physical, perceptual, or cognitive limitations. To address these variable patient conditions with an autonomous robot, a robot must adapt to these individual differences. In this work, we first interviewed nurses regarding common issues faced by healthcare providers. Then we designed a system that interfaces with an individual's electronic health record, and adapts its search and handover capabilities to improve the quality of object handover.