Robots Play Soccer, Make Cereal at RoboCup German Open

It's nonstop action and adventure at the RoboCup German Open 2011, from diving soccer saves to artificial-hand-delivered orange juice

1 min read

The RoboCup German Open 2011 wrapped up last weekend, and we've got a couple video highlights to share from the event.

This first clip is from the RoboCup@Home competition, which aims to develop service and assistive robot technology that will eventually make its way into your home. Here, Dynamaid and Cosero, two robots from Team NimbRo at the University of Bonn, team up to autonomously to make breakfast (of a sort):

RoboCup is perhaps best know for soccer, and the Darmstadt Dribblers (we've been big fans foryears) took first place in the Kidsize soccer competition, defending their 2010 title. The 3v3 fully autonomous matches feature thrills, spills, violence, dives, and unprecedented speed and skill... Those robots are as good or better at aiming for the corners than most humans I know. In the first half of the match, stick around until the very end to see some tricky ball-handling skills:

And in the second half, check out one of the bots go from left footed to right footed and score, and make sure to hang on until minute nine to witness the first ever successful goalkeeper save and throw in a regulation robot soccer match:

Remember, the goal of RoboCup is to field a team of human robots capable of defeating a world-class team of humans at full field soccer. Obviously, we're not there yet, but the magnitude of improvements that we've seen over just the last two or three years has me convinced that the 2050 target is, if anything, pessimistic.

[ RoboCup German Open ]

[ Team NimbRo ]

[ Darmstadt Dribblers ]

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