From Grabit Inc.: Enhanced Flexibility Grabit technology eliminates the need for part-specific grippers and minimizes gripper changeover, dramatically reducing costs and downtime. Gentle Handling Grabit grippers offer scratch and smudge-free handling with its clean grasping and eliminates the need to remove residue left by vacuum cups. Grabit’s uniform grasping effect eliminates high “point stresses” on large format glass sheets. Low Energy & Quiet Operations Grabit products operate at ultra-low energy levels providing cost savings and enabling mobile robot applications, and also offer quiet operations improving factory conditions and supporting the adoption of collaborative robots... ( homepage )
From Japan Times :
iRobot Unveils Its First Multi-Robot Tablet Controller for First Responders, Defense Forces and Industrial Customers
From iRobot: The uPoint MRC system runs an Android-based app that standardizes the control of any robot within the iRobot family of unmanned vehicles. Utilizing the same intuitive touchscreen technology in use today on millions of digital devices, the uPoint MRC system simplifies robot operations including driving, manipulation and inspection, allowing operators to focus more on the mission at hand... ( full press release )
From ABB: YuMi is a human-friendly dual arm robot designed for a new era of automation, for example in small parts assembly, where people and robots work hand-in-hand on the same tasks. YuMi is short for ‘you and me,' working together. YuMi has been developed to meet the flexible and agile production needs of the consumer electronics industry in the first instance. It will increasingly be rolled out to cover other market sectors. YuMi is a collaborative, dual arm assembly solution with the ability to feel and see. The robot's soft, padded dual arms, combined with innovative force-sensing technology ensure the safety of YuMi's human co-workers. Safety is built into the functionality of the robot itself so that it can work cage-free... ( cont'd )
From Nick McCrea at Toptal: In this article, I’m going to describe the control scheme of my simulated robot, illustrate how it interacts with its environment and achieves its goals, and discuss some of the fundamental challenges of robotics that I encountered along the way... ( full article )
From Evan Ackerman at IEEE Spectrum: IEEE Spectrum has learned that Unbounded Robotics, a spin-off of Willow Garage that developed the UBR-1 mobile manipulator, is currently "in the process of shutting down." The UBR-1 is no longer for sale. Recently, a source (who asked not to be named) forwarded us an email from Unbounded Robotics CEO Melonee Wise. Our source received the message after requesting a quote for a UBR-1 robot: "Unfortunately Unbounded Robotics is in the process of shutting down due to issues with our Willow Garage spin off agreement that prevents us from raising series A investment. Unbounded Robotics is no longer selling the UBR-1.... ( cont'd )
Introduction: This challenge evaluates algorithms for object detection and image classification at large scale. This year there will be two competitions: A PASCAL-style detection challenge on fully labeled data for 200 categories of objects, and An image classification plus object localization challenge with 1000 categories. NEW: This year all participants are encouraged to submit object localization results; in past challenges, submissions to classification and classification with localization tasks were accepted separately.One high level motivation is to allow researchers to compare progress in detection across a wider variety of objects -- taking advantage of the quite expensive labeling effort. Another motivation is to measure the progress of computer vision for large scale image indexing for retrieval and annotation... ( rules and results ) New York Times article: Started in 2010 by Stanford, Princeton and Columbia University scientists, the Large Scale Visual Recognition Challenge this year drew 38 entrants from 13 countries. The groups use advanced software, in most cases modeled loosely on the biological vision systems, to detect, locate and classify a huge set of images taken from Internet sources like Twitter. The contest was sponsored this year by Google, Stanford, Facebook and the University of North Carolina. Contestants run their recognition programs on high-performance computers based in many cases on specialized processors called G.P.U.s, for graphic processing units. This year there were six categories based on object detection, locating objects and classifying them... ( cont'd )
Features ( $192 ): Tegra K1 SOC Kepler GPU with 192 CUDA cores 4-Plus-1 quad-core ARM Cortex A15 CPU 2 GB x16 memory with 64 bit width 16 GB 4.51 eMMC memory 1 Half mini-PCIE slot 1 Full size SD/MMC connector 1 Full-size HDMI port 1 USB 2.0 port, micro AB 1 USB 3.0 port, A 1 RS232 serial port 1 ALC5639 Realtek Audio codec with Mic in and Line out 1 RTL8111GS Realtek GigE LAN 1 SATA data port SPI 4MByte boot flash Dr. Dobbs has an in depth look here .
From Medium: Today, Antoine Cully at the Sorbonne University in Paris and a couple of pals say they’ve developed a technique that allows a damaged robot to learn how to walk again in just a few seconds. They say their work has important consequences for the reliability and robustness of future robots and may also provide some insight into the way that animals adapt to injury as well... ( cont'd )
Relaxing summertime viewing of a 80s era Kuka robot being taken apart and dissected ( 20 parts total ).
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Factory Automation - Featured Product
Awe-inspiring power and superior flexibility is sheathed within the contoured casing of the HAWK MV-4000. This smart camera builds upon the previous generation by quadrupling processing power and achieving real-time trigger response using an FPGA. Its state-of-the-art algorithms make it an excellent tool for any industry, whether the requirement be code reading, code verification, inspection, guidance, gauging or a combination of all four.