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In separate keynote addresses in Silicon Valley, two Internet pioneers gave different takes on the future of the network of networks Monday (May 24). Vint Cerf, co-developer of the Net's TCP/IP protocol, shared his thoughts with developers of the smart electric grid, seen as a massive embedded extension to the Internet. Larry Roberts, who helped launch the forerunner of the Internet, explained his ideas for remedying the growing congestion that plagues the Web today. Smart grid developers can learn from the lessons of the Internet, Cerf told attendees at Connectivity Week here. They should follow the model of the Net in creating a layered architecture with plenty of room for flexibility in areas that cannot be anticipated today, he said in a keynote at Connectivity Week.

California-based company Anybots continues work on a telepresence robot that can take communication to a whole new level by eliminating the need for people to actually be present at board meetings or conferences. Because God knows executives work hard enough. The idea behind QA, the robot, is to interact with people, such as clients or partners, from anywhere in the world, which will save a lot of money on travel costs and different remote-communications equipment. Designed not unlike a sophisticated Skype program, QA relies on a Wi-Fi connection to allow users to interact through video, sound and diagrams projected from and onto the robot’s interface. With a sleek white exterior design, the armless 5-foot robot looks just about how you would expect a robot tailored for the boardroom to look. His rectangular-shaped face with two big eyes reminds a bit of Steven Spielberg’s E.T., so people should warm up to it fairly quickly.

As Paolo Robuffo Giordano and colleagues at the Max Planck Institute for Biological Cybernetics, in Tübingen, Germany, would have it, scientific research means riding the business end of a giant industrial robot arm while playing video games. But hey -- they produced some serious research on it, which was presented at ICRA 2010.  The CyberMotion Simulator is basically a full motion simulator adapted to a racing car game. Players (or subjects, the researchers prefer to call them) sit in a cabin on a robot arm some 2 meters off the ground and drive a Ferrari F2007 car around a projected track with force-feedback steering wheel and pedals. The aim is to make the experience as realistic as possible without having to buy a real F2007, and to test the simulator with an environment that requires sudden, massive acceleration.

In addition to voice connectivity, digital cellular wireless networks such as GSM and its enhancement, GSM-EDGE, can now provide increased data speeds up to a (theoretical) limit of 384ﾠKbps. Third generation mobile networks, such as CDMA2000 and WCDMA or UMTS (Universal Mobile Telecommunications Standards) and TD-SCDMA (China only) are currently being deployed worldwide. These systems offer services such as video streaming, Internet browsing and, by using a technique called High Speed Packet Access (HSPA), they can in theory deliver downlink speeds up to 14,4 Mbps.

Tilikum the killer whale (Orcinus orca) made news recently in the tragic death of his Sea World trainer, Dawn Brancheau. Tilikum pulled Brancheau into the water when he grabbed her floating ponytail — much like a cat might grab yarn attached to a stick. Complex play behavior is a sign of intelligence, but unfortunately little is known of the circuitry of even a cat’s brain, much less the massive brain of an orca — roughly four times the size of a human brain. See Also The Race to Reverse Engineer the Human Brain Ray Kurzweil Interview Brain on a Chip MIT neuroscientists are developing computerized techniques to map the millions of miles of neuronal circuits in the brain that may one day shed some light on the differences between Homo sapiens sapiens and other species, and will likely clarify how those neurons give rise to intelligence, personality, and memory. Developing connectomes (maps of neurons and synapses) may have just as much impact as sequencing the human genome. Here’s a video showing 3D rotating nodes and edges in a small connectome:

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!

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.

The latest episode of the Robots Podcast looks at the following scenario: Imagine being able to throw a hand-full of smart matter in a tank full of liquid and then pulling out a ready-to-use wrench once the matter has assembled. This is the vision of this episode's guests Michael Tolley and Jonas Neubert from the Computational Synthesis Laboratory run by Hod Lipson at Cornell University, NY. Tolley and Neubert give an introduction into Programmable Matter and then present their research on stochastic assembly of matter in fluid, including both simulation (see video above) and real-world implementation. Read on or tune in!

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.

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.

Opus is Octasic's high-performing, ultra low-power, asynchronous DSP technology optimized for basestations, video processing and media gateway solutions. Asynchronous designs deliver similar computing performance to synchronous designs, but use less silicon and less power. No clock tree No state-elements Less sensitive to process and temperature variations

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.

PMA is just kicking off in earnest down in Anaheim, and it looks like Sony has arrived in a big way. Looking to make a splash in a DSLR world dominated by Canon and Nikon, the outfit has brought a few of its best and brightest concepts to SoCal. Up first is an ultra-compact "interchangeable lens" concept, which is no doubt Sony's attempt to get in on the fledgling Micro Four Thirds game before it blows up big. Few details on the device are available, but we'll be doing our best to pry whatever specifications we can from the booth representatives in short order. Moving on, there's a conceptual model of the Alpha A700 replacement, complete with an Exmor APS HD CMOS sensor that promises full AVCHD video capabilities. There's also a prototype of a Super Telephoto Lens (500mm F4 G) as well as a prototype Distagon T 24mm F2 ZA SSM, which ought to make wide angle junkies drool profusely. The company's also dishing out a raft of accessories, including underwater housing devices, HD lenses and output cables, tripods / accessory packs and a Compact PictureStation photo printing kiosk. Stay tuned for some hands-on action from the show floor

Kota Nezu of ZNUG Design talks about his work developing the look of ZMP’s RoboCar, an educational platform for researchers working on autonomous vehicles.  The video is entirely Japanese, but you can see some cool CAD work and there’s some explanatory slides in this .PDF file.  Nezu-san also designed ZMP’s e-nuvo Humanoid, and Toyota’s personal transporter, the i-unit (seen in model form on his desk).  Part 2 follows after the break for those interested.

Mahru-Z is the robotic maid that can make breakfast!. Given certain voice commands the robot can perform functions such as working a microwave, delivering toast, and other tasks such as washing clothes. The robots can see with stereoscopic vision and can identify what objects are and even decide what jobs needs to be done with the objects. In the video, one robot appears to be tethered and the other is not making me wonder if they are really self contained. Also, one is wearing a dress and the other not, so are they both maids or is one a butler? Shouldn't they just call them robotic servants or is that redundant? Regardless, although not apparently sentient, these do appear to be advanced robots. I only wonder if they washed their hands before and after handling the food?

Verification of algorithm-intensive systems is a long, costly process. Studies show that the majority of flaws in embedded systems are introduced at the specification stage, but are not detected until late in the development process. These flaws are the dominant cause of project delays and a major contributor to engineering costs. For algorithm-intensive systems —including systems with communications, audio, video, imaging, and navigation functions— these delays and costs are exploding as system complexity increases. It doesn't have to be this way. Many designers of algorithm-intensive systems already have the tools they need to get verification under control. Engineers can use these same tools to build system models that help them find and correct problems earlier in the development process. This can not only reduce verification time, but also improves the performance of their designs. In this article, we'll explain three practical approaches to early verification that make this possible. First, let's examine why the current algorithm verification process is inefficient and error-prone. In a typical workflow, designs start with algorithm developers, who pass the design to hardware and software teams using specification documents.

http://www.ted.com Eric Lewis, an astonishingly talented crossover jazz pianist -- seen by many for the first time at TED2009 -- sets fire to the keys with his shattering rendition of Evanescence's chart-topper, "Going Under."TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes. Featured speakers have included Al Gore on climate change, Philippe Starck on design, Jill Bolte Taylor on observing her own stroke, Nicholas Negroponte on One Laptop per Child, Jane Goodall on chimpanzees, Bill Gates on malaria and mosquitoes and "Lost" producer JJ Abrams on the allure of mystery. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts. Watch the Top 10 TEDTalks on TED.com, at http://www.ted.com/index.php/talks/top10

In this video we present four types of wall climbing robots that were developed in Dr. Amir Shapiros lab at the Department of Mechanical Engineering of Ben Gurion University of the Negev, Israel. The robots shown are: First, a magnetic climber that has compliant magnetic wheels and is capable to climb on ferromagnetic surfaces. This robot can be used for inspection of ship hull or bridges. Second, is a Snail inspired wall climbing robot capable of climbing on non metallic surfaces using hot melt glue. The robot secretes the adhesive at the front and peels off the track from the wall at the bottom leaving a trail behind just like the snail does. Third, is a robot that uses sticky wheels in order to attach itself to the wall. It simply has 3Ms sticky tape on the wheels. It can climb on smooth surfaces like glass. Fourth, is a four legged wall climbing robot for climbing on rough surfaces. It has 12 claws made of fishing hooks mounted on each footpad, and it climbs like cat or other rodents. For further information email: ashapiro@bgu.ac.il. See also: www.bgu.ac.il/~ashapiro and http://bgurobots.pbworks.com/