Sign In

Communications of the ACM

ACM TechNews

This System Helps Robots Better Navigate Emergency Rooms


View as: Print Mobile App Share: Send by email Share on reddit Share on StumbleUpon Share on Hacker News Share on Tweeter Share on Facebook
Identifying people and their activities in a hospital emergency room.

Computer scientists at the University of California San Diego have developed a navigation system that will allow robots to better negotiate busy clinical environments.

Credit: University of California, San Diego

A navigation system developed by University of California, San Diego (UC San Diego) computer scientists aims to improve the ability of robots to navigate busy clinical environments, especially hospital emergency departments.

The Safety Critical Deep Q-Network (SafeDQN) navigation system is built around an algorithm that factors in the number of people clustered in a space and the speed and abruptness with which they are moving and directs robots to move around them.

The researchers trained the algorithm using a dataset of more than 700 YouTube videos, mainly from documentaries and reality shows.

When tested in a simulated environment and compared to other state-of-the-art robotic navigation systems, the researchers determined that SafeDQN found the most efficient and safest paths in all cases.

From UC San Diego News Center
View Full Article

 

Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA


 

No entries found