Robot Learns to Clean Whiteboard, Schoolchildren Rejoice

Robots may steal our jobs, and apparently, our kids's jobs too, as Fujitsu's HOAP robot learns to clean a whiteboard

1 min read
Robot Learns to Clean Whiteboard, Schoolchildren Rejoice

This is HOAP-2, and it likes to clean. It doesn't really know how to clean, but that's okay, because it does know how to learn. A human can move HOAP-2's arms in different cleaning patterns, and the bot will remember and then be able to clean by itself later on. Take a look:

[youtube //www.youtube.com/v/bVH1E5gGLf8?fs=1&hl=en_US&rel=0 expand=1]

The cool thing here is, of course, that HOAP is learning to erase instead of being programmed to erase. Robot learning is the focus of tons of research today. Now, in the case of HOAP, some people would argue that this is a waste of time, because robots should be able to detect marks on a whiteboard and erase them autonomously. And that's true, but it's also not the point.

If you're a teacher with a bunch of dirty whiteboards and no naughty kids and someone hands you a robot, you don't want to have to worry about whether your whiteboards are the right shade of white or the right size or whatever... And what if you have chalkboards instead? It really makes much more sense to have a robot be a generalist, and to be an effective generalist a robot has to be adaptable, something that (for now at least) robots are notoriously bad at. But robots are notoriously good at following instructions, so robots that can learn new tasks from humans on the fly have the potential to be much more effective, and much less frustrating for their users.

[ Petar Kormushev ]

Thanks Tipper!

The Conversation (0)

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