Robots were a major force in the automation drive that made Japan the most competitive nation in manufacturing in the 1980s. That glory seems to have faded in recent decades, and Japanese robotics are no exception.
Once upon a time, a charming American robot called James met a striking German bot by the name of Rosie. They liked each other, so they moved in together. Now they spend their days taking long walks in the lab and doing other things that robots do. James is a PR2 robot, built by U.S. robotics firm Willow Garage, and it traveled to Germany as part of the PR2 Beta Program, an effort to popularize personal robots. At the Technical University Munich (TUM), James was introduced to Rosie, a dual-arm robot with a curvy figure and four eyes. Their courtship was at first a bit mechanical, but they soon found many things in common: Both run ROS ( Robot Operating System), use Hokuyo laser scanners and Kinect 3D sensors , and have omnidirectional mobile bases . On a recent spring morning, James and Rosie were seen together cooking the traditional Weisswurst Frühstück , a Bavarian sausage breakfast.
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Presentation by Tully Foote of Willow Garage - "Open Source Robotics for the Home" which covers ROS, TurtleBot, and more. ROS is an open source Robot Operating System that is catching on and promises to allow faster development of robotic systems. .
Intel Capital, an investment organization that belongs to Intel Corp. has made its first robotics industry investment, leading a $13 million investment in Aldebaran Robotics. The funding from Intel Capital will play a key role in allowing Aldebaran to develop its product offering into additional vertical sectors such as health and social care. “Robotics is an area that Intel Capital has been interested in for some time. Aldebaran’s work in areas such as voice interaction and video analytics really highlights the advances made in perceptual computing and has the potential to offer innovative products and solutions across a range of sectors," said Marcos Battisti, managing director of Intel Capital in Western Europe and Israel. The company currently manufactures and sells advanced, programmable humanoid robots focused on the education, personal services and research markets. Its products combine a range of facial and voice recognition technologies with location awareness capabilities, providing a flexible platform for application development. The investment from Intel Capiral and other partners will also help Aldebaran streamline its production operations and increase its research and development capabilities.
Liquid Robotics, a Silicon Valley startup, has raised a $22 million round of funding to expand its fleet of self-propelled, solar-powered, ocean-going robots. Called Wave Gliders, the robots currently are roaming the worlds oceans to monitor oil and gas wells, keep tabs water quality in the Gulf of Mexico and gather data on the melting of Arctic icecaps, according to Bill Vass, Liquid Robotics new chief executive. These Roombas-of-the-sea deploy fins that tap the up-and-down movement of waves to propel themselves through the ocean while solar panels power the Wave Gliders sensor and communications arrays. The base model costs $100,000 and Liquid Robotics has deployed nearly 100 Wave Gliders over the past year-and-a-half that have racked up 150,000 miles of ocean travel, according to the company.
IEEE Robotics and Automation Society have awarded the 2011 Pioneer in Robotics and Automation Award to Dr. Mark W. Spong for his innovative contribution to the field of robotics. The Pioneer Award was aimed at honoring persons who have explored new areas of engineering, development or research that played a major role in the growth of robotics and automation. The society selected Spong for his original contributions in the field of robotic control and teleoperators. He has also made significant contributions in the field of robotics education. Spong has authored and co- authored numerous research papers in the robotics field. Californias Jet Propulsion Laboratory and New Mexicos Sandia National Labs have utilized systems based on the theoretical fundamentals of robot control established by Spong. The results of his work over the past 30 years have been applied in systems used by R&D facilities and companies worldwide.
Rosie the robot maid may not remain a 'Jetsons' fantasy for too much longer. MIT computer scientists have honed a decision-making process that may help robots juggle diverse chores such as preparing dinner or loading laundry into the washing machine. That means getting robots to do advance planning to accomplish their goals, but not planning out each step in such detail as to leave robots without room for flexibility. It's similar to how humans know how to get to the airport early and check in to board a plane, but don't plan their exact walking routes through the airport. "Were introducing a hierarchy and being aggressive about breaking things up into manageable chunks," said Tomas Lozano-Pİrez, co-director of MITs Center for Robotics. The MIT approach creates a rough timeline of what robots may need to do, but plans detailed moves for only the first few steps. That may not be as efficient as a robot that follows a set of detailed commands like a choreographed ballet to tackle the household chores, but it allows for the unknowns
Automated assembly lines from KUKA Systems outfit Canadas largest solar panel plant
According to a new market research report, "Global Machine Vision and Vision Guided Robotics Market (2010 - 2015)", published by MarketsandMarkets (www.marketsandmarkets.com), the total global machine vision system and component market is expected to be worth 15.3 billion USD by 2015, out of which the camera & smart camera will account for nearly 27.3% of the total revenues. The global market is expected to record a CAGR of 9.3% from 2010 to 2015.
PhillieBot for Cy Young? It's unlikely. But the one-armed, three-wheeled robot, designed by engineers at the University of Pennsylvania, will throw out the ceremonial first pitch before Wednesday's game between the Philadelphia Phillies and Milwaukee Brewers as part of Science Day festivities at Citizens Bank Park, said Evan Lerner, a spokesman for Penn's engineering school. The pitching robot has been in the makings for a month and a half as Penn engineers Jordan Brindza and Jamie Gewirtz assembled parts and wrote software in their spare time, Lerner said. They started with a Segway, gave it a robotic arm and added a third wheel. They also gave it a pneumatic cylinder, which delivers a burst of compressed carbon dioxide to power the pitch. The robot's computer brain can be tweaked to change pitch velocity and trajectory. On Monday, Brindza and Gewirtz took PhillieBot out to the mound for its final test, The Philadelphia Inquirer reported. After the press of a button, the robot's mechanical arm reared back and then moved toward home plate; at the top of its delivery, it flicked its mechanical "wrist" and shot the ball forward. The ball appeared to be traveling no more than 30 or 40 miles an hour, the Inquirer reported. But that was by design, since the Phillies didn't want the pitch approaching Major League speeds.
The Associated Press is reporting that two PackBot ground robots from iRobot have entered Unit 1 and Unit 3 of the crippled Fukushima nuclear power plant and performed readings of temperature, oxygen levels, and radioactivity. The data from the robots, the first measurements inside the reactors in more than a month since a massive earthquake and tsunami damaged the plant, revealed high levels of radioactivity -- too high for humans to access the facilities. The remote-controlled robots entered the two reactors over the weekend. Details of the mission -- such as what areas of the reactors the robots inspected and from where they were operated -- are still scarce, but Tokyo Electric Power Co. (TEPCO), the plant's operator, said that the robots opened and closed "double doors and conducted surveys of the situation" inside the buildings.
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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.