With a combination of high torque density and precision motion, compact stepper motors provide full 360° of correction for instrument tilt.
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 )
Robotic palletizing solution from Intelligrated adds staffing and production flexibility, avoids worker injuries, and yields floor-space savings.
From Boston Herald: A company with U.S. headquarters in Marlborough that was recently awarded FDA approval to sell its robotic exoskeletons for paraplegics plans to raise $50 million in an IPO this week, possibly on Friday. Israeli-based ReWalk Robotics is planning to sell 3.5 million shares for between $14 and $16 each, which puts it at the low end of the 13 local health care companies which have gone public since the beginning of the year, more than any other year in history. Most of those have been biotech companies, however, making ReWalk the first robotics-focused company to do so in at least a couple of years... ( cont'd )
This year RoboticsTomorrow has setup a special newspage devoted to news and announcements from International Manufacturing Technology Show (IMTS 2014). Make sure to check it out.
Allowing our young to experiment with hands on is the best path to understanding. Theories and facts can be memorized and regurgitated but that does not mean they are understood.
James Dyson explaining Dyson's new 360 Eye robotic vacuum :
As a result of their robot purchases Bailey Nurseries can switch to this new configuration and gain up to 15% more space for free.
From University of Tokyo: ACHIRES is composed of high-speed vision and high-speed actuators to achieve instantaneous recognition and behavior. The similar technologies are used in our Janken (Rock Paper Scissors) Robot. High-speed vision detects the state of the biped robot including the timing of landing at 600 fps. The biped mechanism with the leg length of 14 cm is set to run in the sagittal plane. At present, the running velocity reaches 4.2 km/h. Simple control based on high-speed performance of sensory-motor system enables the biped robot to stably run without falling, unlike computationally expensive ZMP-based control which is commonly used for balance. The aerial posture is recovered to compensate for the deviation from the stable trajectory using high-speed visual feedback. We also address a task of somersaulting. While running, the robot takes a big swing with one foot and jumps. After takeoff, both legs are controlled to curl up for high-speed rotation in the air. ACHIRES is going to be improved to push the envelope while demonstrating various biped locomotion tasks... ( 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 )
Compact, high-torque motors precisely control biopsy needle to improve speed, efficiency, and radiation exposure.
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 )
Back to school and back to work with the tradeshow schedule for the Robotics and Advanced Manufacturing industry heating up. This year RoboticsTomorrow has setup a special newspage devoted to news and announcements from International Manufacturing Technology Show (IMTS 2014) taking place beginning of September.
Traditionally, vacuum-based bag handling systems have been marred by problems to the extent that it has been almost impossible to use them.
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 )
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