Collaboration unites course management with STEM testing tools
Sawyer is a smart, collaborative robot that can be trained by demonstration and change tasks quickly to fit the individual needs of the factory.
The boom can be fitted with up to 80 different tools, including hydraulic hammers, cutting discs, clamps, and buckets.
Incorporating Velodyne LiDAR's HDL-32E Sensor, OWL Technology from LSA Autonomy to Dramatically Transform Oversize Transport Industry
System Marks Major Leap Forward in Detection of Overhead Obstacles
Domain knowledge from Watson and WayBlazer will help personalize and enhance the Hilton guest experience
Cirtronics manufactures robots for the top robotics companies in the world. To continue to build relationships in this exciting market, Cirtronics is proud to be a Gold Sponsor and participant in Xconomy's upcoming Robo Madness forum in Boston, MA, March 31st, 2016.
Carnegie Mellon University's National Robotics Engineering Center (NREC) has been selected as a prime contractor or subcontractor on four major new federal research projects totaling more than $11 million over the next three years. The projects range from research on a wheel that can transform into a track to automated stress testing for critical software. Herman Herman, NREC director, said the center has hired 10 new technical staff members in the past six months and anticipates hiring another five-to-10 staff members in the coming months to augment its existing staff of about 100. "For the past 20 years, NREC has been an important national resource, combining unique technical skills and testing capabilities to solve problems that other groups can't," said Martial Hebert, director of CMU's Robotics Institute, which includes the NREC. "These new projects are a reminder that NREC continues to advance the art and science of robotics and that it remains a vital part of Carnegie Mellon's Robotics Institute." Full Press Release:
Robotics researchers gearing up for busy, productive year
Japan House enhances humanity with robotics, AI, medtech, innovative mobility, and entertainment tech
By Brendan Byrne for ValueWalk: Researchers at Cornell University have developed an electronic artificial skin that doesn’t mind being stretched to 500% its original size (cell phone), glows in the dark and can move a bit like a worm. In a paper published yesterday in the journal Science, a team of researchers showed off glowing electric skin that could be put to use in future wearables. While artificial skin that responds to commands has been done before, electronics embedded in the skin have generally broken when stretched. However, the team seems to have leaped over this hurdle by using hyperelastic, light-emitting capacitor (HLEC) technology. “It’s actually much, much, much more stretchable than human skin or octopus skin,” says Chris Larson, a doctoral candidate and researcher in Cornell’s Organic Robotics Lab. “In terms of texture, it’s actually more like a rubber band or a balloon.” While Larson freely admits that he doesn’t know much about cephalopods, the team was inspired by biology, specifically, the octopus beak with its ability to both move and stretch. “The researchers created a three-chamber robot from the material, with the newly developed ‘skin’ layers on top, and inflatable layers below that allow movement,” according to a release from the American Association for the Advancement of Science. “As the chambers expand linearly, the robot moves forward with a worm-like wiggle.” Cont'd.. .
The event, held at the Millenium Gallery in Sheffield, saw over 55 attendees from the mining, robotics and autonomous systems sector coming together for a collaborative workshop on how to solve some of the major challenges within mining.
Panelists from Uber, Seegrid, Carnegie Robotics and Coal Hill Ventures
Release enhancements include mathematical algorithms, interactive application development, usability
Social home robot uses latest technology, raises $250,000+ in pre-orders in first 5 days
10x faster than other AI cloud platforms and optimized to handle complex problems at scale, Nervana Cloud enables enterprises to leverage deep learning to solve their most difficult data problems
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This paper uses NAO, the humanoid robot from Aldebaran Systems, to demonstrate how MapleSim can be used to develop a robot model, and how the model can be further analyzed using the symbolic computation engine within Maple.