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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.

You can think of the Distributed Flight Array as a combination between vertical take-off and landing vehicles, and modular reconfigurable robots. It is a flying platform consisting of multiple, autonomous, single-propeller vehicles, and these single propeller vehicles - or modules - are able to generate enough thrust to lift themselves into the air, but are completely unstable in flight, kind of like a helicopter without a tail rotor.

Scientists from Bielefeld University have come up with a plastic-head robot called Flobi that can express a number of different emotions, and can have it’s appearance reassembled from male to female (or vice-versa) in a couple of minutes.

Ranger, a four legged bi-pedal robot, set an unofficial record at Cornell last month for walking 23 kilometers (14.3 miles), untethered, in 10 hours and 40 minutes. Walking at an average pace of 2.1 km/h (1.3 miles per hour), Ranger circled the indoor track at Cornell’s Barton Hall 108.5 times, taking 65,185  steps before it had to stop and recharge. Ranger walks much like a human, using gravity and momentum to help swing its legs forward, though its looks like a boom box on stilts. Its swinging gait is like a human on crutches since the robot has no knees, and its two exterior legs are connected at the top and its two interior legs are connected at the bottom.

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.

Dave Megginson (who drove the development of the SAX API that will be familiar to many XML developers who use Java) recently wrote Java is dead. Java stood out as a programming language (though not as a platform) in that Sun had refused to standardize it through an independent and reputable standards organization (a lot of the hard work had been done in one attempt to put it through ECMA and one to put it through ISO, both times Sun pulled out and eventually made their highly unsatisfactory JCP Java Community Process system.) Without the ability to alter Java significantly in ways that might go against their druthers, Java suffered two major forks (Microsoft's J++ then its C#, and IBM's SWT) where significant players disagreed with a major component (the graphics library). Java succeeded in middleware, and but failed to take advantage of the rise of browsers on the deskop: their HTML parser was great for the middle 1990s but was deliberately neglected to the point of being unusable: it is hard not to see this as a deliberate attempt by Sun to leave the browser market to its friends and enemies. I really liked Java, and bet my company on it (in a sense): I would not do that today.

IBM's light-powered links overcome the greatest speed bump in supercomputing: interconnect bandwidth

SLAM ( Simultaneous localization and mapping ),  PID ( Proportional integral derivative ) controller & ODOMETRY ( hodos, meaning “travel“, “journey” and metron, meaning “measure“)

Usually developers consider Java as a programming language, but Java is a complete operating enviornment including some parts belong to OS. If you have experience of porting Java runtime to embedded system. You will find that RTOS is not a necessary requirement for porting Java.

Most multiprocessing systems can be classified as either symmetric multiprocessing (SMP) or asymmetric multiprocessing (AMP). AMP involves the use of interprocessor communication to combine the efforts of multiple processors, each with its own local operating system and hardware resources. Also, AMP involves less OS overhead for each individual processor and a more traditional execution environment for applications. AMP seems like distributed system. The number of peripherals that are supported in today's multicore processors is quickly increasing. Symmetric-multiprocessing (SMP) software is expected to be quickly available to support these peripherals. Basically any OS can be ported to a SMP platform, but the developers must take care of following issues for SMP OS. - Handling of task priority or implicit synchronization - Spinlocks and synchronization - Synchronization between tasks sharing memory - Synchronization between tasks and ISRs sharing memory - Synchronization between ISRs sharing memory

To paraphrase helicopter pioneer Igor Sikorsky: If you're in trouble, an airplane can fly over and drop flowers, but a helicopter can save your life. It can deftly maneuver through tight spots and alight in remote places. It can float next to a mountain to search for the lost. And the best sound a wounded soldier can hear is that telltale rotor beat, just minutes before being evacuated to a hospital. When roads are impassable, bridges have been destroyed, and the electricity has been knocked out, helicopters can still deliver supplies and rescue people.

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.

CHELMSFORD, MA.  October 7, 2010  Mercury Computer Systems, Inc. (NASDAQ: MRCY, www.mc.com), a trusted ISR subsystems provider, announced the availability of OpenSAL, an open source version of its award-winning Scientific Algorithm Library (SAL) for vector math acceleration. SAL is a high-throughput, low-latency signal processing library containing efficient algorithms with the fewest possible instructions and computing resources. OpenSAL provides a robust API, C code reference design and documentation for over 400 SAL math functions.

Cooking is an art sometimes forgotten in the robotics world, but James, the PR2 robot, and Rosie, another robot from CoTeSys (Cognition for Technical Systems) in Munich have joined forces to show that robots can be of great use in the kitchen as well. They made some pretty successful-looking pancakes and used various tools around the Assisted Kitchen to show off their skills. The main chef in the experiment was Rosie, who used her broad arms and high levels of dexterity to flip and cook the pancakes. As you can see in the video, she is a bit on the slow side, but she’s also extra careful and gets it done right. She is capable of adjusting the way she pours the batter based on the weight of the bowl, demonstrating some impressive planning and a good use of her sensors, which allow the bot to recognize how much batter she has already poured.

South Korean researchers have recently made a flexible nonvolatile memory based on memristors—fundamental electronic circuit elements discovered in 2008—using thin graphene oxide films. Memristors promise a new type of dense, cheap, and low-power memory and have typically been made using metal oxide thin films. The new graphene oxide devices should be cheaper and simpler to fabricate—they could be printed on rolls of plastic sheets and used in plastic RFID tags or in the wearable electronics of the future. "We think graphene oxide can be a good candidate for next-generation memory," says Sung-Yool Choi, who leads flexible devices research at the Electronics and Telecommunications Research Institute in Daejeon, South Korea. Choi and his colleagues reported their device last week in Nano Letters.

You may think that all of those crazy robot competitions that we like to cover are just fun and games, but there’s a serious side. Really, there is. For reals. Mindful of this, ROBO-ONE held the second annual Humanoid Helper Project last weekend, where teleoperated human-sized robots completed (or attempted to complete) three seemingly simple tasks, including pouring liquid from a plastic bottle into a cup, carrying ping-pong balls on a tray, and a 30 minute endurance race. I don’t know about you, but the last two would be a bit of a challenge for me, and they certainly were for the robots:

It’s hard enough to set up a reliable wireless network at home on Earth, let alone space. I harbor a personal grudge against my two-foot-thick 19th century brick/plaster wifi-killing walls and don’t get me started with my router or my ISP. So how does NASA connect with the ISS 300 to 400 kilometers above the Earth travelling at nearly 28000 km/h? In this case, engineers took advantage of the station’s existing communication link, which relies on the Ku radio band. The Ku band is the most common portion of the frequency spectrum used for satellite communication and is not reserved for restricted use. Among the companies that use the Ku band for commercial purposes are satellite internet providers and news networks broadcasting on satellite from remote locations.

No currently accepted scientific theory makes use of the notion of causality. Scientists may interpret some math equations involved in a scientific theory to denote causality—but unlike, say, “force” or “attraction”, causality is not really part of the formal language of modern science. Roughly, causality consists of “predictive implication, plus assumption of a causal mechanism.” Predictive implications are part of science: science can tell us “If X happens, then expect Y to happen with a certain probability.” But science cannot tell us whether X is the “cause” of Y, versus them both habitually being part of some overall coordinated process.

Nikki Graziano's intriguing integration of mathematical curves into her photography sparked a Radar discussion about the relationship between mathematics and the real world. Does her work give insight into the nature of mathematics? Or into the nature of the world? And if so, what kind of insight? Mathematically, matching one curve to another isn't a big deal. Given N points, it's trivial to write an N+1 degree equation that passes through all of them. There are many more subtle ways of solving the same problem, with more aesthetically pleasing results: you can use sine functions, wavelets, square waves, whatever you want. Take out a ruler, measure some points, plug them into Mathematica, and in seconds you can generate as many curves as you like. So finding an equation that matches the curve of an artfully trimmed hedge is easy. The question is whether that curve tells us anything, or whether it's just another stupid math trick.

Robots have revolutionized the factory. What about the field? Over the past century, agriculture has seen an explosion in productivity, thanks to things like mechanization, synthetic fertilizers, selective breeding, and, of course, pesticides -- lots of it. But it remains to be seen what role robots will play in working the fields. Automation was possible in factories because tasks were repetitive and the environment well-defined. A robot arm welding a car chassis does the exact same job over and over. When it comes to crops, though, everything changes: the environment is unstructured and tasks -- like picking a fruit -- have to be constantly readjusted.