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Aasemoon =)

IEEE Spectrum: Japanese Snake Robot Goes Where Humans Can't - 0 views

  • Japanese robotics company HiBot has unveiled a nimble snake bot capable of moving inside air ducts and other narrow places where people can't, or don't want to, go. The ACM-R4H robot, designed for remote inspection and surveillance in confined environments, uses small wheels to move but it can slither and undulate and even raise its head like a cobra. The new robot, which is half a meter long and weighs in at 4.5 kilograms, carries a camera and LEDs on its head for image acquisition and can be fitted with other end-effectors such as mechanical grippers or thermo/infrared vision systems. Despite its seemingly complex motion capabilities, "the control of the robot is quite simple and doesn't require too much training," says robotics engineer and HiBot cofounder Michele Guarnieri.
Aasemoon =)

STOMP Motion Planner | Willow Garage - 0 views

  • Robot motion planning has traditionally been used to avoid collisions when moving a robot arm. Avoiding collisions is important, but many other desirable criteria are often ignored. For example, motions that minimize energy will let the robot extend its battery life. Smoother trajectories may cause less wear on motors and can be more aesthetically appealing. There may be even more useful criteria, like keeping a glass of water upright when moving it around. This summer, Mrinal Kalakrishnan from the Computational Learning and Motor Control Lab at USC worked on a new motion planner called STOMP, which stands for "Stochastic Trajectory Optimization for Motion Planning". This planner can plan paths for high-dimensional robotic systems that are collision-free, smooth, and can simultaneously satisfy task constraints, minimize energy consumption, or optimize other arbitrary criteria. STOMP is derived from gradient-free optimization and path integral reinforcement learning techniques (Policy Improvement with Path Integrals, Theodorou et al, 2010).
Aasemoon =)

Scalable Object Recognition | Willow Garage - 0 views

  • Marius Muja from University of British Columbia returned to Willow Garage this summer to continue his work object recognition. In addition to working on an object detector that can scale to a large number of objects, he has also been designing a general object recognition infrastructure. One problem that many object detectors have is that they get slower as they learn new objects. Ideally we want a robot that goes into an environment and is capable of collecting data and learning new objects by itself. In doing this, however, we don't want the robot to get progressively slower as it learns new objects. Marius worked on an object detector called Binarized Gradient Grid Pyramid (BiGGPy), which uses the gradient information from an image to match it to a set of learned object templates. The templates are organized into a template pyramid. This tree structure has low resolution templates at the root and higher resolution templates at each lower level. During detection, only a fraction of this tree must be explored. This results in big speedups and allows the detector to scale to a large number of objects.
Aasemoon =)

3D Point Cloud Based Object Recognition System | Willow Garage - 0 views

  • The main focus for Bastian's work was on the feature-extraction process for 3D data. One of his contributions was a novel interest keypoint extraction method that operates on range images generated from arbitrary 3D point clouds. This method explicitly considers the borders of the objects identified by transitions from foreground to background. Bastian also developed a new feature descriptor type, called NARF (Normal Aligned Radial Features), that takes the same information into account. Based on these feature matches, Bastian then worked on a process to create a set of potential object poses and added spatial verification steps to assure these observations fit the sensor data.
Aasemoon =)

Robot Loses To Human At Bowling, Everyone Seems Surprised | BotJunkie - 0 views

  • 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.
Aasemoon =)

DIY Drones - 0 views

  • This is a site for all things about amateur Unmanned Aerial Vehicles (UAVs). Use the tabs and drop-down menus above to navigate the site. These are our Arduino-based open source autopilot projects: * ArduPilot, a low-cost autopilot system for planes. * ArduCopter, a fully-autonomous quadcopter system (heli autopilot coming soon). * BlimpDuino, an autonomous blimp with both infrared and ultrasonic guidance.
Aasemoon =)

IEEE Spectrum: Autonomous Vehicle Driving from Italy to China - 0 views

  • 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.)
Aasemoon =)

ICT Results - Computers to read your body language? - 0 views

  • 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."
Aasemoon =)

・HRP-2FX - 0 views

  • Bipedal humanoid robots can step over obstacles and negotiate stairs where their wheeled counterparts cannot, but this comes with the risk of falling down.  Naturally, humanoid robots will never be accepted in society if they break when they fall down.  The bigger the robot, the more likely it is that it will damage itself during a fall and be unable to get up. In 2003 the HRP-2P was the first full-scale humanoid that could fall over safely and get back up, and so far remains alone; not even Honda’s ASIMO can do this.  As soon as it detected that it was falling, the HRP-2P would bend its knees and back, which helped to reduce the ground impact.  This motion, called “UKEMI”, is quite similar to how the SONY QRIO would react when falling over to reduce the risk of damaging its components.
Aasemoon =)

Robot cooks make pancakes - 0 views

  • 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.
Aasemoon =)

・ARMAR-III - 1 views

  • Continuing to work on a humanoid helper robot called ARMAR, the Collaborative Research Center 588: Humanoid Robots at the University of Karlsruhe began planning ARMAR-IIIa (blue) in 2006. It has 43 degrees of freedom (torso x3, 2 arms x7, 2 hands x8, head x7) and is equipped with position, velocity, and force sensors.  The upper-body has a modular design based on the average dimensions of a person, with 14 tactile sensors per hand.  Like the previous versions, it moves on a mobile platform.  In 2008 they built a slightly upgraded version of the robot called ARMAR-IIIb (red).  Both robots use the Karlsruhe Humanoid Head, which has 2 cameras per eye (for near and far vision).  The head has a total of 7 degrees of freedom (neck x4, eyes x3), 6 microphones, and a 6D inertial sensor.
Aasemoon =)

Video: Impressive Strawberry Picking Robot - 0 views

  • Developed by Japan’s National Agriculture and Food Research Organization and other local institutions, the robot may sound boring (when compared to humanoids, for example), but it’s actually pretty cool. The main bullet points are that it automatically detects how ripe the strawberries are (which fruit is ready for harvesting) and that it cuts the stalks without damaging the strawberries.
Aasemoon =)

ROBO-ONE Humanoid Helper Project | BotJunkie - 1 views

  • 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:
Aasemoon =)

robots.net - Robots: Swarming Satellites - 0 views

  • The latest episode of the Robots podcast interviews Dr. Alvar Saenz-Otero from MIT on the SPHERES project. SPHERES (Synchronized Position Hold Engage and Reorient Experimental Satellites) are basketball-sized satellites able to fly in and maintain formation at nanometer precision. In the second part of this episode we continue our quest for a good definition of a robot by looking at a well-known definition dating back to 1979. Read on or tune in!
Aasemoon =)

How Long Till Human-Level AI? | h+ Magazine - 0 views

  • 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.
Aasemoon =)

Care-O-bot Research - 0 views

  • 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
Aasemoon =)

・StickyBot - 0 views

  • The aptly-named StickyBot is a gecko-like robot that can climb smooth surfaces using its feet, which are covered in small, dry rubbery hairs (called setae on the gecko) which provide enough surface tension for dry adhesion. While the original StickyBot has 4 toes per foot, the team at Stanford has created the SB2 which has only 2 toes per foot while still retaining its climbing ability.
Aasemoon =)

IEEE Spectrum: Will Robots Pick Your Grapes One Day? - 0 views

  • 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.
frank smith

Memristor FAQ - 0 views

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    "What is memristance? Memristance is a property of an electronic component. If charge flows in one direction through a circuit, the resistance of that component of the circuit will increase, and if charge flows in the opposite direction in the circuit, the resistance will decrease. If the flow of charge is stopped by turning off the applied voltage, the component will 'remember' the last resistance that it had, and when the flow of charge starts again the resistance of the circuit will be what it was when it was last active. "
frank smith

Memristor minds: The future of artificial intelligence - tech - 08 July 2009 - New Scie... - 0 views

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    EVER had the feeling something is missing? If so, you're in good company. Dmitri Mendeleev did in 1869 when he noticed four gaps in his periodic table. They turned out to be the undiscovered elements scandium, gallium, technetium and germanium. Paul Dirac did in 1929 when he looked deep into the quantum-mechanical equation he had formulated to describe the electron. Besides the electron, he saw something else that looked rather like it, but different. It was only in 1932, when the electron's antimatter sibling, the positron, was sighted in cosmic rays that such a thing was found to exist. In 1971, Leon Chua had that feeling. A young electronics engineer with a penchant for mathematics at the University of California, Berkeley, he was fascinated by the fact that electronics had no rigorous mathematical foundation. So like any diligent scientist, he set about trying to derive one. And he found something missing: a fourth basic circuit element besides the standard trio of resistor, capacitor and inductor. Chua dubbed it the "memristor". The only problem was that as far as Chua or anyone else could see, memristors did not actually exist. Except that they do.
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