IEEE Spectrum has an article by Dr Massimiliano Versace about a memristor-based approach to AI that consists of a chip that mimics how neurons process information. Researchers have suspected for decades that real artificial intelligence can't be done on traditional hardware, with its rigid adherence to Boolean logic and vast separation between memory and processing. But that knowledge was of little use until about two years ago, when HP built a new class of electronic device called a memristor. Before the memristor, it would have been impossible to create something with the form factor of a brain, the low power requirements, and the instantaneous internal communications. Turns out that those three things are key to making anything that resembles the brain and thus can be trained and coaxed to behave like a brain. In this case, form is function, or more accurately, function is hopeless without form. Basically, memristors are small enough, cheap enough, and efficient enough to fill the bill. Perhaps most important, they have key characteristics that resemble those of synapses. That's why they will be a crucial enabler of an artificial intelligence worthy of the term.
Kinect RGBDemo and the Nestk Library by Nicolas Burrus aim at providing a simple toolkit to start playing with Kinect data and develop standalone computer vision programs without the hassle of integrating existing libraries. The 0.6 release includes two new demos, an interactive program to calibrate multiple RGBD cameras, and a one shot 3D model acquisition of objects lying on a table based on PCL table top detector. Current features include: Grab kinect images and visualize / replay them Support for libfreenect and OpenNI/Nite backends Extract skeleton data / hand point position (Nite backend) Integration with OpenCV and PCL Multiple Kinect support and calibration Calibrate the camera to get point clouds in metric space (libfreenect) Export to meshlab/blender using .ply files Demo of 3D scene reconstruction using a freehand Kinect Demo of people detection and localization Demo of gesture recognition and skeleton tracking using Nite Demo of 3D model estimation of objects lying on a table (based on PCL table top object detector) Demo of multiple kinect calibration Linux, MacOSX and Windows support
The robotic inspector looks like nothing more than a small metallic cannonball. There are no propellers or rudders, or any obvious mechanism on its surface to power the robot through an underwater environment. A robot outfitted with external thrusters or propellers would easily lodge in a reactor’s intricate structures, including sensor probes, networks of pipes and joints. As the robot navigates a pipe system, the onboard camera takes images along the pipe’s interior. The original plan was to retrieve the robot and examine the images afterward. But now the MIT project director and his students are working to equip the robot with wireless underwater communications, using laser optics to transmit images in real time across distances of up to 100 meters.
MAKE Magazine has a selection of ten of the most interesting robotic limbs from the archives. Including a robot sorts over 400 pancakes per minute.
The Bilibot Project started at MIT through the exploration of what could be done with the new Microsoft Kinect sensor. Besides being a great sensor for gesture technology, the Kinect is a powerful robotic sensor - so much so that robotics laboratories at universities across the world are replacing their $5000 sensors with the $150 Kinect! The Bilibot project takes advantage of this new technological breakthrough to provide a research quality robot at a hobby robot's price. For $1,200.00 you get: an iRobot Create a Kinect (modified to run off of a battery) a computer running all the nessecary open source software a small robot arm that uses geared motors, and can lift objects weighting up to 3 lbs and all the mounting hardware, , wiring and electronics needed to put it all together. They also have a promotion where they'll send you back $350 if you buy a BiliBot and program it to do something new and interesting and make the source available to the rest of the BiliBot community. The current batch of Bilibots are sold out but the next batch will be available in September.
Lumenlab's micRo-CNC is a precision fabrication system that is small enough to fit on a desktop and light enough to take anywhere. micRo is a unique system which can be used for both additive (printing) and subtractive (milling, cutting) fabrication. It is a precise, modular tool which allows you to create complex objects out of wood, metal, and plastic.
RobotWorx has an article up that showcases various available robots that can aid in packaging and sorting tasks. Motoman's has a series of dual arm robots extremely well-suited for packing applications. Dual-arm robots are extremely precise and dexterous, offering human-like assembly capabilities. The arms can be programmed to work collaboratively or separately. The Fanuc M-1iA Robot (pictured above) is a lightweight and compact robot that is capable of sorting very small items and placing those items in packaging.
Using hundreds of autonomous mobile robots and sophisticated control software, the Kiva Mobile-robotic Fulfillment System enables extremely fast cycle times with reduced labor requirements, from receiving to picking to shipping - all without conveyor. IEEE Spectrum has a great article and video of the robots in action.
Firefly is a set of comprehensive software tools dedicated to bridging the gap between Grasshopper (a free visual parametric modelling plug-in for Rhino) and the Arduino micro-controller. This allows designers to tweak, experiment and control in realtime various elements of design with cheap and widely available devices like Nintendo's Wii Nunchuk controller or Parallax's PING ultrasonic sensor which provides a very low-cost and easy method of distance measurement. <br>
Gregory Epps uses standard industrial robots to build complex and accurate forms out of sheet metal. The forming is achieved by folding sheet metal along curved crease lines. Using the Grasshopper generative CAD software alongside Kangaroo , physics simulation software, Gregory is able to build objects not possible with other methods of sheet metal manipulation. The Robofold webpage is here and Gregory also has another site that discusses topics related to CAD and generative design. You can also watch a video of the robots assembling the chair pictured here.
Leapfrog IP is a group research project with partners from the European clothing and textiles industries, technology companies and academia. The goal of the project was to transform the European clothing sector into a technology and knowledge based industry to give European clothing manufacturing a competitive advantage in an industry where low cost labor countries dominate. The project has ended and the results of the project are available here or on their YouTube channel here.
Joking that "one of my responsibilities as commander-in-chief is to keep an eye on robots," President Obama on Friday announced a new public-private sector partnership that will be tasked with driving "a renaissance of American manufacturing." In a speech at Carnegie Mellon University's National Robotics Engineering Center in Pittsburgh, Pa., Obama laid out plans for the "Advanced Manufacturing Partnership" (AMP) . According to the president, the group will bring together top engineering universities, beginning with Carnegie Mellon, Stanford, University of California-Berkeley, Georgia Institute of Technology, MIT and the University of Michigan, and leading U.S. manufacturers including Johnson & Johnson, Honeywell, Caterpillar, Northrop Grumman and Corning. Led by Susan Hockfield, President of MIT, and Andrew Liveris, the CEO of Dow Chemical, a White House press release explained AMP will work across sectors to "create high quality manufacturing jobs and enhance our global competitiveness." The release noted that the partnership will "leverage existing programs and proposals" and invest more than $500 million to jumpstart the effort.
U.S. Deputy Secretary of Defense William Lynn said the U.S. will maintain its lead in unmanned robotic technology in the face of a $400 billion reduction in defense spending. "Robotics and unmanned technology is a key future" for the U.S. military, Lynn said in Paris today ahead of this year's Air Show. The Pentagon will also seek to maintain a lead in cyber security and the capability to strike long-range targets using a combination of missiles, aircraft and electronic attack, he said at briefing. The Pentagon is reviewing its long-range spending plans to meet President Barack Obama's goal of reducing spending over 12 years to help cut the U.S. deficit. Outgoing Defense Secretary Robert Gates and Leon Panetta, his successor, have said all defense programs are under review. "No country with a weak economy is going to be strong militarily," Lynn said. "So, it's a strategic imperative that we tackle the budget deficit" including ways to reduce defense spending. Still, there are some areas of emerging military strength the U.S. will try to preserve, including unmanned robotic technologies, because it's not clear "the exact shape they will take, or the precise advantages they will confer" Lynn said in prepared remarks that he plans to deliver at a dinner organized by the U.S. Aerospace Industries Association.
For 25 years, the field of robotics has been bedeviled by a fundamental problem: If a robot is to move through the world, it needs to be able to create a map of its environment and understand its place within it. Roboticists have developed tools to accomplish this task, known as simultaneous localization and mapping, or SLAM. But the sensors required to build that map have traditionally been either expensive and bulky or cheap and inaccurate. On November 4, a solution was discovered-in a videogame. That's the day Microsoft released the Kinect for Xbox 360, a $150 add-on that allows players to direct the action in a game simply by moving their bodies. Most of the world focused on the controller-free interface, but roboticists saw something else entirely: an affordable, lightweight camera that could capture 3-D images in real time. Within weeks of the device's release, YouTube was filled with videos of Kinect-enabled robots. A group from UC Berkeley strapped a Kinect to a quadrotor-a small helicopter with four propellers-enabling it to fly autonomously around a room. A couple of students at the University of Bundeswehr Munich attached a Kinect to a robotic car and sent it through an obstacle course.
Once upon a time, a charming American robot called James met a striking German bot by the name of Rosie. They liked each other, so they moved in together. Now they spend their days taking long walks in the lab and doing other things that robots do. James is a PR2 robot, built by U.S. robotics firm Willow Garage, and it traveled to Germany as part of the PR2 Beta Program, an effort to popularize personal robots. At the Technical University Munich (TUM), James was introduced to Rosie, a dual-arm robot with a curvy figure and four eyes. Their courtship was at first a bit mechanical, but they soon found many things in common: Both run ROS ( Robot Operating System), use Hokuyo laser scanners and Kinect 3D sensors , and have omnidirectional mobile bases . On a recent spring morning, James and Rosie were seen together cooking the traditional Weisswurst Frühstück , a Bavarian sausage breakfast.
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Industrial Robotics - Featured Product
Universal Robots is a result of many years of intensive research in robotics. The product portfolio includes the UR5 and UR10 models that handle payloads of up to 11.3 lbs. and 22.6 lbs. respectively. The six-axis robot arms weigh as little as 40 lbs. with reach capabilities of up to 51 inches. Repeatability of +/- .004" allows quick precision handling of even microscopically small parts. After initial risk assessment, the collaborative Universal Robots can operate alongside human operators without cumbersome and expensive safety guarding. This makes it simple and easy to move the light-weight robot around the production, addressing the needs of agile manufacturing even within small- and medium sized companies regarding automation as costly and complex. If the robots come into contact with an employee, the built-in force control limits the forces at contact, adhering to the current safety requirements on force and torque limitations. Intuitively programmed by non-technical users, the robot arms go from box to operation in less than an hour, and typically pay for themselves within 195 days. Since the first UR robot entered the market in 2009, the company has seen substantial growth with the robotic arms now being sold in more than 50 countries worldwide.