Missy Cummings for Wired: Drones are a big business and getting bigger, a reality that comes with both economic opportunities and risks. The UAV market is set to jump from $5.2 billion in 2013 to $11.6 billion in 2023. Opportunities for delivery services, cinematography, and even flying cell towers could introduce thousands of jobs and reinvigorate an ailing aerospace market. At the same time, drone sales to hobbyists have exploded. Registered drone operators in the US now outnumber registered manned aircraft. In tandem with that growth, close calls with commercial aircraft have more than doubled in the past two years. An analysis of FAA reports by Bard College’s Center for the Study of the Drone counts 28 instances in which pilots changed course in order to avoid a collision. Cont'd...
Brad Stone and Jack Clark for Bloomberg Business: The video, published to YouTube on Feb. 23, was awe-inspiring and scary. A two-legged humanoid robot trudges through the snow, somehow maintaining its balance. Another robot with two arms and pads for hands crouches down and lifts a brown box and delicately places it on a shelf -- then somehow stays upright while a human tries to push it over with a hockey stick. A third robot topples over and clambers back to its feet with ease. Tens of millions of people viewed the video over the next few weeks. Google and the division responsible for the video, Boston Dynamics, were seemingly pushing the frontier in robot technology. But behind the scenes a more pedestrian drama was playing out. Executives at Google parent Alphabet Inc., absorbed with making sure all the various companies under its corporate umbrella have plans to generate real revenue, concluded that Boston Dynamics isn’t likely to produce a marketable product in the next few years and have put the unit up for sale, according to two people familiar with the company’s plans. Possible acquirers include the Toyota Research Institute, a division of Toyota Motor Corp., and Amazon.com Inc., which makes robots for its fulfillment centers, according to one person. Google and Toyota declined to comment, and Amazon didn’t respond to requests for comment. Full Article:
It's too early to tell whether the record-breaking pace of 2015 fundings for robotic startups and the number of acquisitions will carry over into 2016, nevertheless here are the transactions that happened in February
Joan Lowy for PHYS.org: Self-driving cars are "absolutely not" ready for widespread deployment despite a rush to put them on the road, a robotics expert warned Tuesday. The cars aren't yet able to handle bad weather, including standing water, drizzling rain, sudden downpours and snow, Missy Cummings, director of Duke University's robotics program, told the Senate commerce committee. And they certainly aren't equipped to follow the directions of a police officer, she said. While enthusiastic about research into self-driving cars, "I am decidedly less optimistic about what I perceive to be a rush to field systems that are absolutely not ready for widespread deployment, and certainly not ready for humans to be completely taken out of the driver's seat," Cummings said. It's relatively easy for hackers to take control of the GPS navigation systems of self-driving cars, Cummings said. "It is feasible that people could commandeer self-driving vehicles ... to do their bidding, which could be malicious or simply just for the thrill of it," she said, adding that privacy of personal data is another concern. Cont'd...
Prosthetic technology is advancing rapidly, but not without sticking points.
Sher Minn Chong wrote a good introductory to image processing in Python: In this article, I will go through some basic building blocks of image processing, and share some code and approaches to basic how-tos. All code written is in Python and uses OpenCV , a powerful image processing and computer vision library... ... When we’re trying to gather information about an image, we’ll first need to break it up into the features we are interested in. This is called segmentation. Image segmentation is the process representing an image in segments to make it more meaningful for easier to analyze3. Thresholding One of the simplest ways of segmenting an image isthresholding. The basic idea of thresholding is to replace each pixel in an image with a white pixel if a channel value of that pixel exceeds a certain threshold... ( full tutorial ) ( iPython Notebook )
Gordon Hunt for SiliconRepublic: Pioneered in Ireland by the likes of Dr Dónal Holland, with a plethora of departments in Harvard University in the US involved, the Soft Robotics Toolkit has gone on to foster significant interest in an area exploding into the mainstream. More than 76,000 people have engaged with the service since it was created, represented across 150 different countries, with the toolkit identified as having made one of the most significant contributions to the development of the nascent industry to date. While robotics engineering used to focus much more attention on creating the rigid, hard-bodied prototypes like Bender from Futurama, for example, lately there has been a push towards soft, malleable structures that take their inspiration from nature. Cont'd...
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.
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:
Using MapleSim, engineers created multiple models of robotic manipulator in time previously required to create just one model.
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.. .
From MIT: This week a postdoc at MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) developed a Trump Twitterbot that Tweets out remarkably Trump-like statements, such as “I’m what ISIS doesn’t need.” The bot is based on an artificial-intelligence algorithm that is trained on just a few hours of transcripts of Trump’s victory speeches and debate performances... ... ( MIT article ) ( twitter feed )
If you can envision a shot, the drone can probably help achieve the photograph or video.
Lisa Eadicicco for Time: Drones can already follow professional snowboarders as they speed down a slope or keep up with mountain bikers racing through rocky terrain. But drone-equipped athletes are usually required to keep their phone nearby, since the aerial devices often rely on handheld devices’ GPS signal to track a person’s location. DJI’s newest drone, the Phantom 4, claims to eliminate that hassle. The company says the Phantom 4’s new ActiveTrack feature uses the drone’s front-facing sensors to see and track a target. “Being able to learn about the object, as it squats, as it rotates, as it turns, is really complicated,” says Michael Perry, DJI’s director of strategic partnerships. “When you’re flying toward something, you have to make a decision to fly around it, fly above it, or stop. And to train the system to learn those different functions is also a big challenge.” Cont'd...
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