Sioux ontwikkelt technische software voor zorgrobot Rose - Nieuws - Engineersonline.nl Sioux heeft onlangs de ontwikkeling van de technische software van zorgrobot Rose afgerond. Mede dankzij deze software kan Rose intelligente thuiszorgtaken verrichten zoals eten in de magnetron doen, een pak melk pakken, een dienblad optillen of de tafel met een doek afnemen. Door toenemende vergrijzing stijgt de zorgvraag en tegelijkertijd is er een daling van het aantal zorgverleners. Technische innovatie kan een belangrijke rol spelen om deze impasse te doorbreken. Robot Rose (Remotely Operated SErvice robot) is het eindresultaat van het Pieken in de Delta project Tele-operated Service Robot (TSR). Technische uitdaging Om robots in de zorg te kunnen gebruiken, moest Sioux grote technische obstakels overwinnen. De voordelen ten opzichte van industriële robots zijn echter groot. "Wij geloven dat wij door het toepassen van technologie de wereld aangenamer, veiliger, plezieriger, schoner en gezonder kunnen maken. Kijk wat Rose allemaal kan op
TBB Home European Robotics Public Private Partnership (PPP) The European Robotics Public Private Partnership (PPP) is the teaming up of the robotics industry, research, academia and the European Commission to launch a joint research, development and innovation programme in order to strengthen the position of European robotics as a whole. The programme will be jointly developed by the private side (robotics manufacturers, component manufacturers, systems integrators, end users, research institutes, universities) and the public side (the European Commission). Thus, the main objective of the Robotics PPP is to boost current European robotics research, development and innovation. It also aims to assure competitiveness and industrial leadership of European manufacturers, providers and users of systems and services based on robotic technology, as well as fostering the excellence of its science base.
C++, Development Tools, Java, Open Source, Web... the world of s * Professional service robots - Continued Increase Professional service robots - Continued Increase World Robotics 2012 - Service Robots published Taipei, 30 August 2012 - About 16,400 service robots for professional use were sold in 2011, 9% more than in 2010, reports the IFR Statistical Department in the new study "World Robotics 2012 - Service Robots", which was published on Thursday in Taipei. The sales value increased by 6% to US$ 3.6 billion. Main applications: Defence and milking robots With about 6,600, service robots in defence applications accounted for 40% of the total number of service robots for professional use sold in 2011. The total number of field robots - mainly milking robots - sold in 2011 was about 5,000 units, accounting for a share of 31% of the total unit supply of professional service robots. Considerable growth potential of logistic systems and medical robots Sales of medical robots increased by 13% compared to 2010 to 1,051 units in 2011. A strong growing sector will be the mobile platforms in general use.
The Airport Extreme, version n, dissected. Apple recently released their first "n-capable" base station. As usual, this base station is packaged in a beautiful case, whose form factor appears to have been chosen expressly to fit under a Apple-TV™ or Mac Mini™. Moreover, unlike previous base stations, it's design nods towards the need for cooling: The base station incorporates an intake strip around the edge at the bottom of the case, and the crease along the top is acts as an exhaust. Under the top cover, a thick heat sink acts as a case as well as a RFI shield. The heat sink is designed to transfer the heat from all the chips at the center of the ABS to the periphery, where the passive cooling via convection through the case is supposed to happen. In my opinion, this design is marginal and I have made the decision to remove the top white plastic exterior cover, permanently exposing the heat sink directly to ambient air. The cooling warts aside, it is a worthy successor to the previous generation of Extreme stations. Postscript:
European Robotics Technology Platform EUROP, the European Robotics Technology Platform, is an industry-driven framework for the main stakeholders in robotics to strengthen Europe’s competitiveness in robotic R&D, as well as global markets, and to improve quality of life. To this aim EUROP has developed a joint European Strategic Research Agenda (SRA), which would help focus research initiatives and innovative activities towards maximum impact. The SRA was published in July 2009. EUROP is one of several European Technology Platforms (ETPs) supported by the EU. The European Robotics Coordination Action (euRobotics CA), an EU project within the Seventh Framework Programme of the Information and Communication Technology, currently supports EUROP. EUROP's roots go back to October 2004, when leading European robotics organisations started to formulate the need for a consolidated approach to European robotics, which led to the constitution of EUROP as an ETP in October 2005. The SRA was first launched in 2005. Please note:
Concurrency models for the D programming language Practical use of shared qualifier? d coder <dlang.coder <at> gmail.com> 2011-03-08 01:19:42 GMT Greetings I lately came across usefulness of "shared" qualifier in section 13.12.1. I tried to follow this on the application I am developing. Another issue is that the std container library does not seem to work with shared objects. Kindly let me know if I am missing something. I am kind of stuck right now. Regards - Puneet _______________________________________________ dmd-concurrency mailing list dmd-concurrency <at> puremagic.com
* Google Builds Artificial Brain with Feline Recognition Algorithm... Who's Laughing Meow Awhile back, we talked about the kinds of metadata , we talked about why it's so important to write good metadata , and all that discussion coincided with our coverage of the metadata section of the YouTube Advertiser Playbook . The big reason why it's important to properly classify and describe your videos with actual words is that facial and speech recognition software isn't so good that it can tell you accurately, or with context, what a video is. Well, algorithms for facial recognition are getting a lot better, as a neural network built at Google learned to identify cats on YouTube...without knowing what a cat is. Google's highly secretive X lab, which is so secretive that people narrow its location down to "possibly the California Bay Area," built a neural network of 16,000 computers with 1 billion connections and let it browse YouTube. From Wired : In other words: Here's a highlight from that paper: But, they're working on that, aren't they?
Distributed and High-Performance Computing (DHPC) Group **CompanionAble Maurice Herlihy's Home Page Bio Maurice Herlihy has an A.B. in Mathematics from Harvard University, and a Ph.D. in Computer Science from M.I.T. He has served on the faculty of Carnegie Mellon University, on the staff of DEC Cambridge Research Lab, and is currently a professor in the Computer Science Department at Brown University. He is the recipient of the 2003 Dijkstra Prize in Distributed Computing, the 2004 Gödel Prize in theoretical computer science, the 2008 ISCA influential paper award, the 2012 Edsger W. Dijkstra Prize, and the 2013 Wallace McDowell award. He received a 2012 Fulbright Distinguished Chair in the Natural Sciences and Engineering Lecturing Fellowship, and he is fellow of the ACM and a member of the National Academy of Engineering. Selected Talks CS176: Multiprocessor Synchronization 2011 course on Combinatorial Topology and Distributed Computing (YouTube) 2011 Fulbright Distinguished Chair lecture (YouTube) 2004 Gödel Prize lecture (slides) Books
‘Green Brain’ project to create an autonomous flying robot with a honey bee brain - News releases - News Scientists at the Universities of Sheffield and Sussex are embarking on an ambitious project to produce the first accurate computer models of a honey bee brain in a bid to advance our understanding of Artificial Intelligence (AI), and how animals think. Honey Bee The team will build models of the systems in the brain that govern a honey bee's vision and sense of smell. If successful, this project will meet one of the major challenges of modern science: building a robot brain that can perform complex tasks as well as the brain of an animal. It is anticipated that the artificial brain could eventually be used in applications such as search and rescue missions, or even mechanical pollination of crops. Dr James Marshall, leading the £1 million Engineering and Physical Sciences Research Council (EPSRC) funded project in Sheffield, said: "The development of an artificial brain is one of the greatest challenges in Artificial Intelligence. Additional information Faculty of Engineering Contact
Biometrie: Schau mal, wer da guckt | Fraunhofer Interessiert blickt die junge Frau auf die Videowand. Die neuen Styles gefallen ihr ausnehmend gut. Wenig später betrachtet ein älterer Mann die neue Herrenkollektion. Wie von Zauberhand erscheinen auf der Wand immer die für den Betrachter richtigen Outfits. Möglich macht das ein Produkt der Firma Visapix. Neu ist, die Software erkennt das Alter In der Regel überprüfen Markt- und Werbeforschungsinstitute mit der neuen Technologie, ob die jeweilige Werbebotschaft bei den richtigen Kunden angekommen ist. Entstanden ist Shore™ in den vergangenen zehn Jahren in den Laboren des IIS. »Eigentlich kamen wir aus dem Biometriebereich und haben das System zunächst für die Personenerkennung entwickelt. Seit rund einem Jahr haben die Erlanger Forscher in dem Berliner Unternehmen Visapix GmbH einen Partner für die Vermarktung des Systems gefunden.