The marrying of Aerial MOB's robust operational experience and IP portfolio with 5D's robust autonomy and behavioral technology really bridges many of the gaps for delivering valuable products to many industrial type clients, such as those in oil and gas, utilities, and construction among others.
From Vikash Kumar at University of Washington: Dexterous hand manipulation is one of the most complex types of biological movement, and has proven very difficult to replicate in robots. The usual approaches to robotic control - following pre-defined trajectories or planning online with reduced models - are both inapplicable. Dexterous manipulation is so sensitive to small variations in contact force and object location that it seems to require online planning without any simplifications. Here we demonstrate for the first time online planning (or model-predictive control) with a full physics model of a humanoid hand, with 28 degrees of freedom and 48 pneumatic actuators. We augment the actuation space with motor synergies which speed up optimization without removing flexibility. Most of our results are in simulation, showing nonprehensile object manipulation as well as typing. In both cases the input to the system is a high level task description, while all details of the hand movement emerge online from fully automated numerical optimization. We also show preliminary results on a hardware platform we have developed "ADROIT" - a ShadowHand skeleton equipped with faster and more compliant actuation... (website)
Over the next decade, 3.4 million manufacturing jobs will likely be needed, and 60% of them are likely to be unfilled due to the talent shortage. How can we close that number (and the skills gap)?
In our latest demonstration, Archie provides an overview of the R200 sensor and shows how it can integrate seamlessly with ROS and a TurtleBot to accurately map and navigate an environment.
MIT News via Larry Hardesty for RoboHub: In experiments involving a simulation of the human esophagus and stomach, researchers at MIT, the University of Sheffield, and the Tokyo Institute of Technology have demonstrated a tiny origami robot that can unfold itself from a swallowed capsule and, steered by external magnetic fields, crawl across the stomach wall to remove a swallowed button battery or patch a wound. The new work, which the researchers are presenting this week at the International Conference on Robotics and Automation, builds on a long sequence of papers on origamirobots from the research group of Daniela Rus, the Andrew and Erna Viterbi Professor in MIT’s Department of Electrical Engineering and Computer Science. Cont'd...
Alison E. Berman for Singularity Hub: If you've been staying on top of artificial intelligence news lately, you may know that the games of chess and Go were two of the grand challenges for AI. But do you know what the equivalent is for robotics? It's table tennis. Just think about how the game requires razor sharp perception and movement, a tall order for a machine. As entertaining as human vs. robot games can be, what they actually demonstrate is much more important. They test the technology's readiness for practical applications in the real world—like self-driving cars that can navigate around unexpected people in a street. Though we used to think of robots as clunky machines for repetitive factory tasks, a slew of new technologies are making robots faster, stronger, cheaper, and even perceptive, so that they can understand and engage with their surrounding environments. Consider Boston Dynamic’s Atlas Robot, which can walk through snow, move boxes, endure a hefty blow with a hockey stick by an aggressive colleague, and even regain its feet when knocked down. Not too long ago, such tasks were unthinkable for a robot. At the Exponential Manufacturing conference, robotics expert and director of Columbia University’s Creative Machine Labs, Hod Lipson, examined five exponential trends shaping and accelerating the future of the robotics industry. Cont'd...
City Government Offices In Japan Support SME`s For Enabling Advanced And New Manufacturing Capabilities.
Given the fact that Japanese SME`s have not equipped 100% with advanced technologies especially advanced Robots in their factory automation, the city governments have come forward with funding from Grants to support the SME`s based in their city or jurisdiction area.
Paradigm Electronics is a manufacturer of high performance loud speakers and subwoofers. In trying to meet demand on labor-intensive products, Paradigm has now implemented Universal Robots in polishing applications, resulting in significantly increased production throughput eliminating bottle necks while improving the work environment.
From Manuel Ruder, Alexey Dosovitskiy, Thomas Brox of the University of Freiburg: In the past, manually re-drawing an image in a certain artistic style required a professional artist and a long time. Doing this for a video sequence single-handed was beyond imagination. Nowadays computers provide new possibilities. We present an approach that transfers the style from one image (for example, a painting) to a whole video sequence. We make use of recent advances in style transfer in still images and propose new initializations and loss functions applicable to videos. This allows us to generate consistent and stable stylized video sequences, even in cases with large motion and strong occlusion. We show that the proposed method clearly outperforms simpler baselines both qualitatively and quantitatively... (pdf paper)
Designed to navigate freely and dynamically amongst a human workforce, TORU operates between regular shelves, picking a wide range of objects.
Phys.org: Scientists have built a computer model that shows how bees use vision to detect the movement of the world around them and avoid crashing. This research, published in PLOS Computational Biology, is an important step in understanding how the bee brain processes the visual world and will aid the development of robotics. The study led by Alexander Cope and his coauthors at the University of Sheffield shows how bees estimate the speed of motion, or optic flow, of the visual world around them and use this to control their flight. The model is based on Honeybees as they are excellent navigators and explorers, and use vision extensively in these tasks, despite having a brain of only one million neurons (in comparison to the human brain's 100 billion). The model shows how bees are capable of navigating complex environments by using a simple extension to the known neural circuits, within the environment of a virtual world. The model then reproduces the detailed behaviour of real bees by using optic flow to fly down a corridor, and also matches up with how their neurons respond. Cont'd...
Keith Naughton for Bloomberg Technology: Brian Lesko and Dan Sherman hate the idea of driverless cars, but for very different reasons. Lesko, 46, a business-development executive in Atlanta, doesn’t trust a robot to keep him out of harm’s way. “It scares the bejeebers out of me,” he says. Sherman, 21, a mechanical-engineering student at the University of Minnesota, Twin Cities, trusts the technology and sees these vehicles eventually taking over the road. But he dreads the change because his passion is working on cars to make them faster. “It’s something I’ve loved to do my entire life and it’s kind of on its way out,” he says. “That’s the sad truth.” The driverless revolution is racing forward, as inventors overcome technical challenges such as navigating at night and regulators craft new rules. Yet the rush to robot cars faces a big roadblock: People aren’t ready to give up the wheel. Recent surveys by J.D. Power, consulting company EY, the Texas A&M Transportation Institute, Canadian Automobile Association, researcher Kelley Blue Book and auto supplier Robert Bosch LLC all show that half to three-quarters of respondents don’t want anything to do with these models. Cont'd...
This paper seeks to determine which standard offers the best value and has the best chance of being viable in the long term.
Sam Fleming for Financial Times: When Andy Puzder, chief executive of restaurant chains Carl’s Jr and Hardee’s, said in March that rising employment costs could drive the spread of automation in the fast-food sector, he tapped into a growing anxiety in the US. From touchscreen ordering systems to burger-flipping robots and self-driving trucks, automation is stalking an increasing number of professions in the country’s service sector, which employs the vast majority of the workforce. Two-fifths of US employees are in occupations where at least half their time is spent doing activities that could be automated by adapting technology already available, according to research from the McKinsey Global Institute. These include the three biggest occupations in the country: retail salespeople, store cashiers and workers preparing and serving food, collectively totalling well over 10m people. Yet evidence of human obsolescence is conspicuous by its absence in the US’s economic statistics. The country is in the midst of its longest private-sector hiring spree on record, adding 14.4m jobs over 73 straight months, and productivity grew only 1.4 per cent a year from 2007 to 2014, compared with 2.2 per cent from 1953 to 2007. Those three big occupations all grew 1-3 per cent from 2014 to 2015. Cont'd...
Innovators offered chance to develop their ideas with world leading robotics manufacturer ABB Robotics
Full Press Release: The IdeaHub, is once again recruiting robotics and software innovators worldwide to take on the challenge of improving the way we work and interact with the next generation of industrial robots. Working on behalf of ABB Robotics, IdeaHub will help successful applicants pitch their ideas and secure uniquely tailored support packages to maximise their venture's commercial potential, including investment, mentoring and access to cutting edge hardware. The IdeaHub is a cross sector, open innovation platform that connects visionaries worldwide with funding and support from global corporations. In 2015 they ran their first programme for ABB Robotics, attracting over 130 applicants with 12 finalists selected for a pitch day in London, with 6 entrepreneurs receiving an offer of support. For 2016 they are partnering with ABB Robotics once again to bring more solutions to solve three core challenges in the world collaborative industrial robotics: 1.) Simplicity: How to simplify robotics 2.) Intelligence: How to enable robots to learn and apply that learning 3.) Digitalization: How smart connectivity will enhance digital factories.
Records 691 to 705 of 1769
Zaber's X-LRQ-DE Series of linear stages have high stiffness, load, and lifetime capabilities in a compact size. The integrated linear encoder combined with stage calibration provides high accuracy positioning over the full travel of the device. At 36 mm high, these stages are excellent for applications where a low profile is required. The X-LRQ-DE's innovative design allows speeds up to 205 mm/s and loads up to 100 kg. Like all Zaber products, the X-LRQ-DE Series is designed for easy set-up and operation.