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Researchers at MIT’s McGovern Institute for Brain Research are working on a new mathematical model to mimic the human brain's ability to identify objects. The model can predict human performance on certain visual-perception tasks suggesting it’s a good indication of what's actually happening in the brain. Researchers are hoping the new findings will make their way into future object-recognition systems for automation, mobile robotics, and other applications.

Can a team of soccer-playing robots beat the human World Cup champions by 2050? That's the ultimate goal of RoboCup, an international tournament where teams of soccer robots compete in various categories, from small wheeled boxes to adult-size humanoids. IEEE Spectrum's Harry Goldstein traveled to Singapore to attend RoboCup 2010 -- and check out how the man vs. machine future of soccer is playing out.

A research project will be conducted this week in Linz, Austria, to discover what the ideal interaction between people and humanoid robots ought to be in the future, Honda R&D and Ars Electronica Futurelab announced today. The research, the first of its kind in Europe, will involve members of the public directly interacting with ASIMO, Honda's humanoid robot.

In its latest episode, the Robots Podcast interviews the lead researcher of the Distributed Flight Array and one of my colleagues at the ETH Zurich's IDSC, Raymond Oung. The Distributed Flight Array (DFA) is an aerial modular robot. Each individual module has a single, large propellor and a set of omniwheels to move around. Since a single propellor does not allow stable flight, modules move around to connect to each other. As shown in this video of the DFA, the resulting random shape then takes flight. After a few minutes of hovering the structure breaks up and modules fall back to the ground, restarting the cycle. As most projects at the IDSC, the DFA is grounded in rigorous mathematics and design principles and combines multiple goals: It serves as a real-world testbed for research in distributed estimation and control, it abstracts many of the real-world issues of the next generation of distributed multi-agent systems, and it provides an illustration for otherwise abstract concepts like distributed sensing and control to a general public. For more information on current work, future plans and real-world applications, read on or tune in!

Honda and the Ars Electronica Futurelab are collaborating on a human-robot interaction study this week in Linz, Austria (September 2nd ~ 8th).  Although they say their goal is to determine how robots ought to interact with people in the future, I think this may be just an excuse to let the public have some one-on-one fun with ASIMO.  In any case, these sorts of studies should help steer Honda’s engineers in the right direction when designing the next version of the world’s most famous humanoid robot.

Carnegie Mellon has taught its robotic snake to climb trees, though one hopes it won’t start offering your spouse apples. “Uncle Sam” (presumably named for its red, white, and blue markings) is a snake robot built from modular pieces. The latest in a line of ‘modsnakes’ from Carnegie Mellon’s Biorobotics Lab, Uncle Sam can move in a variety of different ways including rolling, wiggling, and side-winding. It can also wrap itself around a pole and climb vertically, which comes in handy when scaling a tree. You have to watch this thing in action. There is something incredibly life-like, and eerie, about the way it scales the tree outdoors and then looks around with its camera ‘eye’. Projects like Uncle Sam show how life-mimicking machines could revolutionize robotics in the near future.

EARL (that would be, Enhanced Automated Robotic Launcher) is a second generation bowling robot. Let me explain to you why a bowling robot is necessary at all: apparently, EARL is “invaluable in the many studies necessary to keep up with the ever-changing bowling ball industry… [EARL is] the future of bowling research.” Hmm. That’s worth pondering for a minute or two. Well, I won’t pretend to understand it, but that doesn’t mean I’m not impressed with the fact that EARL can throw bowling balls at 24 MPH and spin them up at 900 RPM, much faster than a human is capable of, which I guess is why people seemed to assume that the robot would win… Does it say something about the state of robotics, or something about the sport? Either way, bowling seems like a game with an extremely limited amount of random variables, and sooner or later (probably sooner) the only thing worthy of a news story will be a robot arm not bowling a perfect 300.

When will human-level AIs finally arrive? We don’t mean the narrow-AI software that already runs our trading systems, video games, battlebots and fraud detection systems. Those are great as far as they go, but when will we have really intelligent systems like C3PO, R2D2 and even beyond? When will we have Artificial General Intelligences (AGIs) we can talk to? Ones as smart as we are, or smarter? Well, as Yogi Berra said, “it’s tough to predict, especially about the future.” But what do experts working on human-level AI think? To find out, we surveyed a number of leading specialists at the Artificial General Intelligence conference (AGI-09) in Washington DC in March 2009. These are the experts most involved in working toward the advanced AIs we’re talking about. Of course, on matters like these, even expert judgments are highly uncertain and must be taken with multiple grains of salt — nevertheless, expert opinion is one of the best sources of guidance we have. Their predictions about AGI might not come true, but they have so much relevant expertise that we should give their predictions careful consideration.

During the Google IO event, two new great features of the popular Android OS were announced. The most important from a robotics point of view is the Android Open Accessory standard that is Arduino based and enables Android devices to integrate with hardware via usb (or bluetooth in the near future). You can read more in the posts on engadget.com and robots-dreams.com (where the video is from). Also engadget reports on the Android @ Home framework that aspires to interconnect every home appliance, device or gadget to an integrated network. More information and details will be announced soon from Google but already the potential for various robotic applications that could take advantage of these projects looks promising.