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UC3M's ASIROV Robotic Satellite Chaser Prototype ASIROV, the Acoplamiento y Agarre de Satélites mediante Sistemas Robóticos basado en Visión (Docking and Capture of Satellites through computer vision) would use computer vision tech to autonomously chase down satellites in orbit for repair or removal. Image courtesy of Universidad Carlos III de Madrid Spanish robotics engineers have devised a new weapon in the battle against zombie-sats and space junk: an automated robotics system that employs computer vision technology and algorithmic wizardry to allow unmanned space vehicles to autonomously chase down, capture, and even repair satellites in orbit. Scientists at the Universidad Carlos III de Madrid (UC3M) created the system to allow for the removal of rogue satellites from low earth orbit or the maintenance of satellites that are nearing the ends of their lives, prolonging their service (and extending the value of large investments in satellite tech). Through a complex set of algorithms, space vehicles known as “chasers” could be placed into orbit with the mission of policing LEO, chasing down satellites that are damaged or have gone “zombie” and dealing with them appropriately.

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.

Space robotics may appear to be a purely scientific endeavor -- brave little rovers exploring planets in search of life -- but it turns out there's a multi-million dollar market in space just waiting for the right kind of robot. This market is satellite servicing. Geostationary communication satellites fire small thrusters to stay in orbit. When they run out of fuel (typically helium or hydrazine), or when a battery or gyroscope fails, these expensive satellites often have to be abandoned, becoming just another piece of space junk, even though their mechanical systems and electronics work fine.

We are not alone in the universe -- and alien life forms may have a lot more in common with life on Earth than we had previously thought. That's the stunning conclusion one NASA scientist has come to, releasing his groundbreaking revelations in a new study in the March edition of the Journal of Cosmology. Dr. Richard B. Hoover, an astrobiologist with NASA’s Marshall Space Flight Center, has traveled to remote areas in Antarctica, Siberia, and Alaska, amongst others, for over ten years now, collecting and studying meteorites. He gave FoxNews.com early access to the out-of-this-world research, published late Friday evening in the March edition of the Journal of Cosmology. In it, Hoover describes the latest findings in his study of an extremely rare class of meteorites, called CI1 carbonaceous chondrites -- only nine such meteorites are known to exist on Earth.

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.

Zipping through space at nearly a million miles per day, NASA's New Horizons probe is halfway to Pluto and just woke up for the first time in months to look around. An artist's concept of New Horizons. "Our spacecraft is way out in exotic territory, in the middle of nowhere," says Hal Weaver, New Horizons project scientist at Johns Hopkins University. "And we have a lot to do." It's the perfect opportunity to test New Horizon's instruments before the probe reaches Pluto in 2015. "We don't want to miss a single breathtaking moment during the Pluto encounter," he says. "So we're checking everything out now to make sure we're ship-shape and ready to go." The 9 weeks of testing commenced on May 25th. Mission controllers plan a thorough checkout and recalibration of all seven science instruments onboard. First up is LORRI, the Long-Range Reconnaissance Imager, one of the largest interplanetary telescopes ever flown. "On July 14, 2015, the date of closest approach, we'll be able to distinguish objects on Pluto as small as a football field," says Weaver. "That's about 300 times better resolution than anything we have now."

Keeping an infrared telescope at very cold operating temperatures isn't an option, it's an absolute necessity. For the James Webb Space Telescope to see the traces of infrared light generated by stars and galaxies billions of light years away, it must be kept at cryogenic temperatures of under 50 Kelvin (-370°F). Otherwise, sunlight would warm the telescope and this heat from the telescope itself will swamp the very faint astronomical signals, effectively blinding the telescope's eye. The job of the huge, five-layer sunshield is to keep that from happening.

On 10 July, the European Space Agency's Rosetta spacecraft will fly within a few thousand kilometres of 21 Lutetia, a main belt asteroid that orbits the Sun between Mars and Jupiter. Lutetia is an unusual object. It is classified as an M-type asteroid, which are thought to be made mainly of nickel and iron. However, Lutetia's spectrum does not seem to show any evidence of metals. In fact, exactly what Lutetia is made of puzzles astronomers. That's partly why it was chosen for the fly by. So come July, astronomers should know the answer to this conundrum. But in the run up, they're indulging in a little fun. The game they've invented is to see how good a prediction they can make about what Rosetta will find. Today, Irina Belskaya at the Observatoire de Paris and a few friends take a stab. They make several detailed predictions about Lutetia based partly on observations dating back to the 1960s but mostly on data taken since 2004, when interest picked up after the asteroid was chosen as a flyby target. So what do they think Rosetta will find?

March 19, 2010: When the sun sets on Saturday, March 20th, a special kind of night will fall across the Earth. It's an equal night. Or as an astronomer would say, "it's an equinox." It's the date when the sun crosses the celestial equator heading north. Spring begins in one hemisphere, autumn in the other. The day and night are of approximately equal length. To celebrate the occasion, Nature is providing a sky show. It begins as soon as the sky grows dark. The Moon materializes first, a fat crescent hanging about a third of the way up the western sky. Wait until the twilight blue fades completely black and you will see that the Moon is not alone. The Pleiades are there as well. The Moon and the Pleiades are having a close encounter of rare beauty. There's so little space between the two, the edge of the Moon will actually cover some of cluster's lesser stars. According to David Dunham of the International Occultation Timing Association, this is the best Moon-Pleiades meeting over the United States until the year 2023. Right: A similar Moon-Pleiades conjunction photographed by Marek Nikodem of Szubin, Poland, in July 2009.

Imagine you're a Brontosaurus1 with your face in a prehistoric tree top, munching on fresh leaves. Your relatives have ruled planet Earth for more than 150 million years. Huge and strong, you feel invincible. You're not. Fast forward about 65 million years. A creature much smaller and weaker dominates the Earth now, with brains instead of brawn. Its brain is a lot larger relative to its body size – plenty big enough to conceive a way to scan the cosmos for objects like the colossal asteroid that wrought the end of your kind. Right: An artist's concept of NASA's Wide-field Infrared Survey Explorer (WISE). [more] The creature designed and built WISE, NASA's Wide-field Infrared Survey Explorer, to search for "dark" objects in space like brown dwarf stars, vast dust clouds, and Earth-approaching asteroids. WISE finds them by sensing their heat in the form of infrared light most other telescopes can't pick up.

You might think that some devices in the modern age have reached their maximum development level, such as the common desk-lamp, but you would be wrong. Natan Linder, a student from The Massachusetts Institute of Technology (MIT) has created a robotic version that can not only light your room, but project internet pages on your desk as well. It is an upgrade on the AUR lamp from 2007, which tracks movements around a desk or table and can alter the color, focus, and strength of its light to suit the user’s needs. The LuminAR comes with those abilities, and much more. The robotic arm can move about on its own, and combines a vision system with a pico projector, wireless computer and camera. When turned on, the projector will look for a flat space around your room on which to display images. Since it can project more than one internet window, you can check your email and browse another website at the same time.

In traditional short-haul microwave transmission (that is, line-of-sight microwave transmissions operating in the 18 GHz and 23 GHz radio bands),RF design engineers typically are concerned with signal aspects such as fade margins, signal reflections, multipath signals, and so forth. Like an accountant seeking to balance a financial spreadsheet, an RF design engineer normally creates an RF budget table, expressed in decibels (dB), in order to establish a wireless design. Aspects like transmit power and antenna gain are registered in the assets (or plus) column, and free space attenuation, antenna alignment, and atmospheric losses are noted in the liabilities (or minus) column. The goal is to achieve a positive net signal strength adequate to support the wireless path(s) called for in the design.

Pico Computing has developed a signal processing library which is made up of a set of FPGA firmware components and related tools that speed the development and deployment of advanced video and network analytics for security, defense and aerospace applications.The library, which includes flexible components for signal analysis, feature detection, scale-space generation, correlation and filtering, has been validated and optimized for Pico Computing platforms based on the latest-generation Xilinx Virtex-5 and Virtex-6 FPGA devices.

Realistic sound rendering can directly impact the perceived realism of users of interactive media applications. An accurate acoustic response for a virtual environment is attuned according to the geometric representation of the environment. This response can convey important details about the environment, such as the location and motion of objects. The most common approach to sound rendering is a two-stage process: Sound propagation: the computation of impulse responses (IRs) that represent an acoustic space. Audio rendering: the generation of spatialized audio signal from the impulse responses and dry (anechoically recorded or synthetically generated) source signals.

Erlang allows for massively scalable concurrency, often with millions of lightweight, thread-like components known as actors. Unfortunately, using Erlang requires rewriting all of your legacy code into a rather esoteric language. But there are other options, such as the little known CCR platform that was developed by .NET's robotics department. Actor based languages such as Erlang are able to achieve high degrees of parallelism by using the Actor model. Under this model the fundamental unit of concurrency is not a thread or fiber, but rather something much smaller. Known as a "process" in Erlang, each unit of concurrency has a base overhead of about 1200 bytes on a 32-bit system. By comparison, a thread on the Windows operating system defaults to 1 MB just for the stack, additional space is also needed for bookkeeping and thread local storage. Because they are so lightweight, an application can spawn literally millions of processes simultaneously.

Researchers at CMU and Intel are attempting to map and understand human brain activity well enough that individual words can be detected. Currently, giant MRI machines are being used but the future holds smaller devices that can be worn like a helmet according to Dean Pomerleau, senior researcher at Intel. The efficiency and productivity of word detection will be superior to existing technology that allows an operator to simply control a cursor. This technology will no doubt make its way into robotic telepresence applications including remote surgery and construction in dangerous environments such as the ocean and space.

With the consumer demand for richer content and its resultant , increasing high data bandwidth continuing to drive communications systems, coding for error control has become extraordinarily important. One way to improve the bit error rate (BER), while maintaining high data reliability, is to use an error correction technique like the Viterbi algorithm. Originally conceived by Andrew Viterbi as an error-correction scheme for noisy digital communication, the Viterbi algorithm provides an efficient method for forward error correction (FEC) that improves channel reliability. Today, it is used in many digital communications systems in applications as diverse as CDMA and GSM digital cellular, dial-up modems, satellite, deep-space communications and 802.11 wireless LANs. It is also commonly used in speech recognition, keyword spotting and computational linguistics.

For some years now, an unorthodox idea has been gaining favor among astronomers. It contradicts old teachings and unsettles thoughtful observers, especially climatologists. "The sun," explains Lika Guhathakurta of NASA headquarters in Washington DC, "is a variable star." But it looks so constant... That's only a limitation of the human eye. Modern telescopes and spacecraft have penetrated the sun's blinding glare and found a maelstrom of unpredictable turmoil. Solar flares explode with the power of a billion atomic bombs. Clouds of magnetized gas (CMEs) big enough to swallow planets break away from the stellar surface. Holes in the sun's atmosphere spew million mile-per-hour gusts of solar wind.

There's an interesting video on YouTube from Binary Millenium showing how to make a 3D model out of real objects using Microsoft's Photosynth. It's an interesting idea that while unofficial, may be a big time saver and a lot of fun for many of you. This will work best if you use a Photosynth that not only has a high rate of 'synthiness' but also tons of points in the point cloud. A point in the point cloud means that a specific feature in two more photos has been identified allowing for Photosynth to some degree determine where in space that point exists. While a good Photosynth might have 100% synthiness, meaning all the pictures were connected, it doesn't necissarily mean there will be lots of points in the point cloud.

Microsoft Research who brought us some wonderful technologies such as the incredible Photosynth continue to impress with a much improved web mapping application integrated with the company's new Bing search engine. During the TED 2010 conference, Microsoft engineer Blaise Aguera y Arcas demoed the new Bing augmented reality maps showing real-time registration of video taken with a smart phone and street-view type maps. He showed how the live video can be overlayed over the static images and additional information about the area can be accessed via a Web interface. Much of this is made possible because of the advanced computer vision technology that has been developed in the past decade at Microsoft Research. The Seadragon technology is the back-end that makes it possible to manipulate such vast amounts of data in real-time. Microsoft has also integrated Photosynth and Worldwide telescope into their maps product. You are probably wondering what does this have to do with robotics other than the fact that it is a very impressive application? I can imagine robots using Bing maps to keep localized within a city. One of the most difficult and important problem in robotics is that of Simultaneous Localization and Mapping. Bing maps solve the mapping problem and the new vision techniques (with a bit of help from GPS) can be used to solve the localization problem. The registered video can be used by a robot to localized itself when it goes out to buy your weekly groceries.  You can watch the 10-minute demo below; I bet that it won't be long before Microsoft makes these new features available to us all for free.