In early 2008 I asked my Merrill Lynch broker for a list of stocks of American robot manufacturers. He couldn't provide me with more than two. So I went online with Bloomberg and found a list of 120 companies involved with automation. When I researched them, there were only a few in the U.S. and fewer still where robotics was the principle business.
The Robotic Highway Safety Markers system was developed by Shane Farritor a Professor at University of Nebraska-Lincoln. The Robotic Safety Barrel (RSB) replaces the heavy base of a typical safety barrel with a mobile robot. The mobile robot can transport the safety barrel and robots can work in teams to provide traffic control. Independent, autonomous barrel motion has several advantages. First, the barrels can self-deploy, eliminating the dangerous task of manually placing barrels in busy traffic. To save costs, the robots work in teams. A more expensive "shepherd" robot with built-in Global Positioning System (GPS) navigation would position itself precisely, and then guide the placement of less expensive units, which measure out their positions based on wheel movement (a "dead reckoning" system). In tests, the robots were able to deploy themselves just about as well as humans could place them - their big wheels let them turn on a dime.
Per Sjöborg has a series of audio interviews with leading researchers and thinkers in the field self-reconfiguring modular robotics. On his website Flexibility Envelope he describes the field of self-reconfiguring modular robotics as the joining two elements: The first part is Modular robotics. This is a branch of robotics that aims to build complex systems with simple components. A bit like Lego,simple pieces are,by cooperating,capable of building complex objects. The Second part is Self-reorganization to make the units able to move among each other on their own accord and thus reconfigure themselves from one task to another without human intervention. This also allows the system created to be active and dynamic. His audio interviews can be found on here and are a great listen.
Birgus Latro has posted a write up and several videos looking at the Cubelets KT01 Construction Kit from Modular Robotics . This is the first production run of the Cublets and was limited to just 100 kits. Cublets are a modular robotics kit that consists of 20 magnetic blocks that can be snapped together to make an endless variety of robots with no programming and no wires. Each cubelet in the kit has different equipment on board and a different default behavior. There are Sense Blocks that act like our eyes and ears; they can sense light, temperature, and how far they are away from other objects.
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.
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Humans and robots can now share tasks - and this new partnership is on the verge of revolutionizing the production line. Today's drivers like data-driven services, decreasing product lifetimes and the need for product differentiation are putting flexibility paramount, and no technology is better suited to meet these needs than the Omron TM Series Collaborative Robot. With force feedback, collision detection technology and an intuitive, hand-guided teaching mechanism, the TM Series cobot is designed to work in immediate proximity to a human worker and is easier than ever to train on new tasks.