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Later this month, Carnegie Mellon's CMDragons small-size robotic soccer team will be competing again at RoboCup, to be held in Singapore. CMDragons has tended to find their edge in their software as opposed to their hardware. Their latest software advantage will be their new "physics-based planning", using physics to decide how to move and turn with the ball in order to maintain control. Previous control strategies simply planned where the robot should move to and shoot from, assuming a ball placed at the front center of the dribbler bar would stay there. The goal of Robocup is to create a humanoid robotic soccer team to compete against human players in 2050. Manuela Veloso, the professor who leads the Carnegie Mellon robotic soccer lab, "believe[s] that the physics-based planning algorithm is a particularly noteworthy accomplishment" that will take the effort one step closer to the collective goal.

When we first reported on the Willow Garage PR2 robot, it was just a prototype. Earlier this year, Willow Garage started their beta program, which gave eleven lucky organizations two year access to PR2 robots in exchange for furthering work on open source robotics software. Now we've received word from Willow Garage that the PR2 is officially for sale to anyone who wants it. This is not a toy or hobby robot, of course, so don't expect a small price tag. The full retail price is $400,000 per unit. However, if your organization can demonstrate a proven track record in developing open source software and making contributions to the robotics community, you can get a hefty $120,000 discount on your PR2. For more see our previous stories on Willow Garage and the PR2.

The Balancing Cube is a robotic sculpture that can stand on any of its corners. Pendulum-like modules, located on the inner faces of the cube, constantly adjust their positions to shift the structure's center of gravity and keep it balanced. The cube remains stable even if you poke it. But not too hard! Created by Raffaello D'Andrea, Sebastian Trimpe, and Matt Donovan at ETH Zurich, the contraption is half art and half technology. They got their inspiration from a Cirque du Soleil performance in which acrobats use their bodies to support each other and balance together in seemingly impossible positions.

Justin is a dexterous humanoid robot that can make coffee. Now it's learning to fix satellites. Justin was developed at the Institute of Robotics and Mechatronics, part of the German Aerospace Center (DLR), in Wessling, Germany. The robot has different configurations, including one with wheels. The space version has a head, torso, and arms, but no wheels or legs, because it will be mounted on a spacecraft or satellite. The goal is to use Justin to repair or refuel satellites that need to be serviced. Its creators say that ideally the robot would work autonomously. To replace a module or refuel, for example, you'd just press a button and the robot would do the rest. But that's a long-term goal. For now, the researchers are relying on another approach: robotic telepresence. A human operator controls the robot from Earth, using a head-mounted display and a kind of arm exoskeleton. That way the operator can see what the robot sees and also feel the forces the robot is experiencing.

Humans aren't the only ones playing soccer right now. In just two days, robots from world-renowned universities will compete in Singapore for RoboCup 2010. This is the other World Cup, where players range from 15-centimeter tall Wall-E-like bots to adult-sized advanced humanoids. The RoboCup, now in its 14th edition, is the world’s largest robotics and artificial intelligence competition with more than 400 teams from dozens of countries. The idea is to use the soccer bots to advance research in machine vision, multi-agent collaboration, real-time reasoning, sensor-fusion, and other areas of robotics and AI. But its participants also aim to develop autonomous soccer playing robots that will one day be able to play against humans. The RoboCup's mission statement:

The "kid-size" humanoid league at the RoboCup features standardized humanoid robots that teams write software for. The reigning 2009 champs, from Technische Universitat Darmstadt, worked on making shots and passes quicker in this year's matches. Watch the video highlights and see if their strategy paid off.

levelHead is a spatial memory game by Julian Oliver. levelHead uses a hand-held solid-plastic cube as its only interface. On-screen it appears each face of the cube contains a little room, each of which are logically connected by doors. In one of these rooms is a character. By tilting the cube the player directs this character from room to room in an effort to find the exit. Some doors lead nowhere and will send the character back to the room they started in, a trick designed to challenge the player's spatial memory. Which doors belong to which rooms? There are three cubes (levels) in total, each of which are connected by a single door. Players have the goal of moving the character from room to room, cube to cube in an attempt to find the final exit door of all three cubes. If this door is found the character will appear to leave the cube, walk across the table surface and vanish.. The game then begins again.

It should be able to hold an inert grenade with one hand, and pull the pin with the other hand without the need for human control.  The software system must enable the robot to perform the Challenge Tasks following a high-level script with no operator intervention. For example, the operator would issue a command such as “Throw Ball.” That command would in turn decompose into a sequence of lower-level tasks, such as “find ball,” “grasp ball,” “re-grasp ball, cock arm, and throw.”

Scientists at the Johns Hopkins University Applied Physics Laboratory (APL) were awarded no less than $34.5 million by the Defense Advanced Research Projects Agency (DARPA) to continue their outstanding work in the field of prosthetic limb testing, which has seen them come up with the most advanced model yet. Their Modular Prosthetic Limb (MPL) system is just about ready to be tested on human subjects, as it has proved successful with monkeys. Basically, the prosthetic arm is controlled by the brain through micro-arrays that are implanted (gently) in the head. They record brain signals and send the commands to the computer software that controls the arm. To be honest, it will be interesting to see just how these hair-chips are attached to the brain, but the APL say clinical tests have shown the devices to be entirely harmless. The monkeys didn’t mind them too much, at least.

The Russian policeman waved at the orange van zigzagging around the empty plaza, ordering it to stop. The van didn’t, so the officer stepped closer to address the driver. But there was no driver. The van is an autonomous vehicle developed at the University of Parma’s Artificial Vision and Intelligent Systems Laboratory, known as VisLab. Crammed with computers, cameras, and sensors, the vehicle is capable of detecting cars, lanes, and obstacles -- and drive itself. The VisLab researchers, after getting tired of testing their vehicles in laboratory conditions, decided to set out on a real-world test drive: a 13,000-kilometer, three-month intercontinental journey from Parma to Shanghai. The group is now about halfway through their trip, which started in July and will end in late October, at the 2010 World Expo in China. (See real time location and live video.)

Can a computer read your body language? A consortium of European researchers thinks so, and has developed a range of innovative solutions from escalator safety to online marketing. The keyboard and mouse are no longer the only means of communicating with computers. Modern consumer devices will respond to the touch of a finger and even the spoken word, but can we go further still? Can a computer learn to make sense of how we walk and stand, to understand our gestures and even to read our facial expressions?The EU-funded MIAUCE project set out to do just that. "The motivation of the project is to put humans in the loop of interaction between the computer and their environment,” explains project coordinator Chaabane Djeraba, of CNRS in Lille. “We would like to have a form of ambient intelligence where computers are completely hidden,” he says. “This means a multimodal interface so people can interact with their environment. The computer sees their behaviour and then extracts information useful for the user."

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.

The Care-O-bot® research initiative aims at making Care-O-bot® 3 available as high-tech research platform. The main objectives to reach this goal are to provide a common open source repository for the hardware platform provide simulation models of hardware components provide remote access to the Care-O-bot® 3 hardware platform

In what comes as a bit of a surprise, Fuji Soft Inc.’s new humanoid robot platform for hobbyists and researchers has been given the name PALRO (pal + robot).  Naturally we feel this name is a superb choice!  Sales to research institutions will begin on March 15th, 2010 with a general release following later in the year.  The robot combines Fuji Soft’s software prowess with an open architecture which will give developers plenty of room to experiment. PALRO stands 39.8cm (15″) tall and weighs 1.9kg (3.5 lbs), and here’s the good news: it costs 298,000 JPY ($3300 USD).  Considering PALRO has 20 DOF, a camera, 4 directional microphones, a speaker, LED arrays in its head and chest, 4 pressure sensors in each foot, 3-axis gyro sensor, an accelerometer, and an Intel Atom 1.6GHz CPU, it is priced very competitively.  A comparative robot kit like Vstone’s Robovie-PC for example, costs $1100 USD more and doesn’t have such a fancy exoskeleton.