Robot to Human: “Trust Me”

Rescue robots respond to operator stress levels

3 min read
Robot to Human: “Trust Me”
Search and Rescue: Researchers in Europe explored how well rescuers worked with robots in disaster situations. They found the relationships a bit strained.
Photo: Panagotis Papadakis

In a crisis control center, several teams of firefighters in Montelibretti, Italy, used laptops to guide a robotic ground vehicle into a smoke-filled highway tunnel. Inside, overturned motorcycles, errant cars, and spilled pallets impeded the robot’s progress. The rover, equipped with a video camera and autonomous navigation software, was capable of crawling through the wreckage unguided while humans monitored the video footage for accident victims. But most of the time the firefighters took manual control once the robot was a few meters into the tunnel.


Although the search was just an experiment, microphones recorded clear signs of stress during several tests of the scenario: The firefighter driving the rover spoke at a higher pitch, and members of some teams also interfered with one another’s radio transmissions. And while the human drivers may have improved the robot’s performance, they should have been more focused on the search for victims, says artificial-intelligence expert Geert-Jan Kruijff of the German Research Center for Artificial Intelligence, in Saarbrücken, who consulted on the experiment. The drivers were micromanaging their robots.


Keep Reading ↓ Show less

Stay ahead of the latest trends in technology. Become an IEEE member.

This article is for IEEE members only. Join the world’s largest professional organization devoted to engineering and applied sciences and get access to all of Spectrum’s articles, podcasts, and special reports. Learn more →

Membership includes:

  • Get unlimited access to IEEE Spectrum content
  • Follow your favorite topics to create a personalized feed of IEEE Spectrum content
  • Save Spectrum articles to read later
  • Network with other technology professionals
  • Establish a professional profile
  • Create a group to share and collaborate on projects
  • Discover IEEE events and activities
  • Join and participate in discussions

How the U.S. Army Is Turning Robots Into Team Players

Engineers battle the limits of deep learning for battlefield bots

11 min read
Robot with threads near a fallen branch

RoMan, the Army Research Laboratory's robotic manipulator, considers the best way to grasp and move a tree branch at the Adelphi Laboratory Center, in Maryland.

Evan Ackerman
LightGreen

“I should probably not be standing this close," I think to myself, as the robot slowly approaches a large tree branch on the floor in front of me. It's not the size of the branch that makes me nervous—it's that the robot is operating autonomously, and that while I know what it's supposed to do, I'm not entirely sure what it will do. If everything works the way the roboticists at the U.S. Army Research Laboratory (ARL) in Adelphi, Md., expect, the robot will identify the branch, grasp it, and drag it out of the way. These folks know what they're doing, but I've spent enough time around robots that I take a small step backwards anyway.

This article is part of our special report on AI, “The Great AI Reckoning.”

The robot, named RoMan, for Robotic Manipulator, is about the size of a large lawn mower, with a tracked base that helps it handle most kinds of terrain. At the front, it has a squat torso equipped with cameras and depth sensors, as well as a pair of arms that were harvested from a prototype disaster-response robot originally developed at NASA's Jet Propulsion Laboratory for a DARPA robotics competition. RoMan's job today is roadway clearing, a multistep task that ARL wants the robot to complete as autonomously as possible. Instead of instructing the robot to grasp specific objects in specific ways and move them to specific places, the operators tell RoMan to "go clear a path." It's then up to the robot to make all the decisions necessary to achieve that objective.

Keep Reading ↓ Show less