A new standard in robotics
Phys.org: On the wall of Aaron Dollar's office is a poster for R.U.R. (Rossum's Universal Robots), the 1920 Czech play that gave us the word "robot." The story ends with the nominal robots seizing control of the factory of their origin and then wiping out nearly all of humanity. Dollar, fortunately, has something more cheerful in mind for the future of human-robot relations.
He sees them as helpers in our daily lives—performing tasks like setting the table or assisting with the assembly of your new bookcase. But getting to the point where robots can work in the unstructured environment of our homes (as opposed to industrial settings) would take a major technological leap and a massive coordination of efforts from roboticists around the globe. The living room has been called the last frontier for robots—but first, the robotics community needs some standards that everyone can agree on.
Enter a suitcase-sized box containing 77 objects. It contains things like hammers, a cordless drill, a can of Spam and a nine-hole peg test. As ordinary as they may seem, these carefully curated household items could be the future of a new kind of standardization for robotics. Known as the Yale-CMU-Berkeley (YCB) Object and Model Set, the intent is to provide universal benchmarks for labs specializing in robotic manipulation and prosthetics around the world. Cont'd...
Innovative Machine Learning Training Method Opens New Possibilities for Artificial Intelligence
From AZoRobotics: As a result of a new machine learning algorithm formulated by engineering researchers Parham Aarabi (ECE) and Wenzhi Guo (ECE MASc 1T5) at University of Toronto, smartphones may soon be able to provide users with honest answers.
The researchers prepared an algorithm that was capable of learning directly from human instructions, instead of an existing set of examples, and surpassed conventional techniques of training neural networks by 160%.
But more astonishingly, their algorithm also surpassed its own training by 9% - it learned to identify hair in pictures with better reliability than that enabled by the training, signifying a major leap forward for artificial intelligence. Cont'd...
Irishman's soft robotics exosuit wins major tech award
Colm Gorey for SiliconRepublic: Irishman Conor Walsh’s soft robotics exosuit was among the award winners at the recent Rolex Awards, due to the creator’s continuing efforts to develop tech for the benefit of humanity.
Now in its 40th year, the Rolex Awards are part of an international philanthropic programme that supports new and ongoing projects by individuals taking on major challenges to benefit humankind.
Hosted last night at a public awards ceremony in Los Angeles, the awards were presented to 10 laureates – including five young laureates – that included such wide-ranging topics as opthamology and agritech. Cont'd...
Meet the robot whisperer who trains "big, monstrous, industrial robots" to follow her every command
Charlotte Whistlecroft for DigitalSpy: If you think you're happy with your job, Madeline Gannon will definitely make you question your life, as this woman has managed to train giant robots to do things for her.
Nope, we're not joking - the founder of the Madlab Research Studio created "big, monstrous, industrial robots" and then tamed then, and she even has a nickname to prove it: The Robot Whisperer.
Which is all pretty impressive, if not terrifying, stuff.
Speaking at the WIRED Next Generation event in London, Madeline passed on her robot-taming skills to the audience of 12-18 year olds and shared her passion for turning 6-foot-tall factory line robots into tools any human can communicate with. Cont'd...
Care-O-bot 4 celebrates its premiere as a shopping assistant
By Fraunhofer IPA via RoboHub: In January 2015, Fraunhofer IPA presented a prototype of the “Care-O-bot 4” service robot. The charming helper is now proving its worth in the real world. “Paul” the robot has been greeting customers in Saturn-Markt Ingolstadt since the end of October 2016 and directing them towards their desired products.
Care-O-bot 4, alias Paul, approaches Saturn customers and welcomes them to the store. If they ask him about a certain product, he accompanies the customer to the department and points them in the direction of the relevant shelf. As he indulges in small talk about the weather, or another subject, Paul turns out to be a most charming contact partner. However, he prefers to leave actual customer service to his human colleagues. Paul is able to call another member of staff for support via “Voice over IP”. Before Paul bids a fond farewell and returns to the store entrance, he still has time to ask for feedback. In this way, he discovers whether customers appreciated the interaction or not. Martin Wild, Chief Digital Officer at Media-Saturn-Holding: “With Paul, we are offering our customers the opportunity to get to know one of the most advanced robots in the world.” Cont'd...
Relay Is a Robot Butler Coming to a Hotel Near You
Nathaniel Mott for Inverse: Ordering room service can be a lesson in embarrassment. It could arrive right after you’ve taken off your clothes, while you’re indisposed, or while you’re in the middle of other hotel-related behavior. Thankfully, a robot butler named Relay is here to take that embarrassment (and other inconveniences) out of hotel deliveries.
Relay is basically an autonomous locker on wheels. Guests ask for an item, a hotel worker puts the object inside Relay’s compartment, and then the robot scoots over to the guest’s room with its cargo. It then calls the guests to let them know their item is ready before heading back down to the lobby so it can recharge before its next assignment. Cont'd...
ASU Robot learns to shoot hoops
ASU Interactive Robotics Lab: The video shows a bi-manual robot that learns to throw a ball into the hoop using reinforcement learning. A novel reinforcement learning algorithm "Sparse Latent Space Policy Search" allows the robot to learn the task within only about 2 hours.
The robot repeatedly throws the ball and receives a reward based on the distance of the ball to the center of the hoop. Algorithmic details about the method can be found here:
Deepmind and Blizzard to Release Starcraft II as an AI Research Environment
From DeepMind: For almost 20 years, the StarCraft game series has been widely recognised as the pinnacle of 1v1 competitive video games, and among the best PC games of all time. The original StarCraft was an early pioneer in eSports, played at the highest level by elite professional players since the late 90s, and remains incredibly competitive to this day. The StarCraft series’ longevity in competitive gaming is a testament to Blizzard’s design, and their continual effort to balance and refine their games over the years. StarCraft II continues the series’ renowned eSports tradition, and has been the focus of our work with Blizzard.
DeepMind is on a scientific mission to push the boundaries of AI, developing programs that can learn to solve any complex problem without needing to be told how. Games are the perfect environment in which to do this, allowing us to develop and test smarter, more flexible AI algorithms quickly and efficiently, and also providing instant feedback on how we’re doing through scores... (more)
Self-drive delivery van can be 'built in four hours'
Jane Wakefield for BBC News: A self-drive electric delivery van, that could be on UK streets next year, has been unveiled at the Wired 2016 conference in London.
The vehicle's stripped-back design and lightweight materials mean it can be assembled by one person in four hours, the firm behind it claims.
The vehicles will be "autonomous-ready", for when self-drive legislation is in place, the firm said.
The government wants to see self-drive cars on the roads by 2020.
"We find trucks today totally unacceptable. Loud, polluting and unfriendly," said Denis Sverdlov, chief executive of Charge, the automotive technology firm behind the truck.
"We are making trucks the way they should be - affordable, elegant, quiet, clean and safe." Cont'd...
New US Robotics Roadmap calls for increased regulations, education and research
From Phys.org: A new U.S. Robotics Roadmap released Oct. 31 calls for better policy frameworks to safely integrate new technologies, such as self-driving cars and commercial drones, into everyday life. The document also advocates for increased research efforts in the field of human-robot interaction to develop intelligent machines that will empower people to stay in their homes as they age. It calls for increased education efforts in the STEM fields from elementary school to adult learners
The roadmap's authors, more than 150 researchers from around the nation, also call for research to create more flexible robotics systems to accommodate the need for increased customization in manufacturing, for everything from cars to consumer electronics
The goal of the U.S. Robotics Roadmap is to determine how researchers can make a difference and solve societal problems in the United States. The document provides an overview of robotics in a wide range of areas, from manufacturing to consumer services, healthcare, autonomous vehicles and defense. The roadmap's authors make recommendation to ensure that the United States will continue to lead in the field of robotics, both in terms of research innovation, technology and policies. Cont'd...
Swarm of Origami Robots Can Self Assemble Out of a Single Sheet
Evan Ackerman for IEEE Spectrum: One of the biggest challenges with swarms of robots is manufacturing and deploying the swarm itself. Even if the robots are relatively small and relatively simple, you’re still dealing with a whole bunch of them, and every step in building the robots or letting them loose is multiplied over the entire number of bots in the swarm. If you’ve got more than a few robots to handle, it starts to get all kinds of tedious.
The dream for swarm robotics is to be able to do away with all of that, and just push a button and have your swarm somehow magically appear. We’re not there yet, but we’re getting close: At IROS this month, researchers from the Wyss Institute for Biologically Inspired Engineering at Harvard presented a paper demonstrating an autonomous collective robotic swarm that can be manufactured in a single flat composite sheet. On command, they’ll rip themselves apart from each other, fold themselves up into origami structures, and head off on a mission en masse. Cont'd...
As seen on TV! Neural Enhance
From Alex J. Champandard: As seen on TV! What if you could increase the resolution of your photos using technology from CSI laboratories? Thanks to deep learning and #NeuralEnhance, it's now possible to train a neural network to zoom in to your images at 2x or even 4x. You'll get even better results by increasing the number of neurons or training with a dataset similar to your low resolution image.
The catch? The neural network is hallucinating details based on its training from example images. It's not reconstructing your photo exactly as it would have been if it was HD. That's only possible in Hollywood — but using deep learning as "Creative AI" works and it is just as cool! (github)
Sweden places ban on flying camera drones without surveillance permits
Zoya Teirstein for The Verge: The Supreme Administrative Court of Sweden just ruled that camera drones qualify as surveillance cameras and require a permit under Sweden's camera surveillance laws. The ruling requires owners to cough up a sizable fee in order to get their equipment off the ground, and paying to start the process is no guarantee a citizen will be granted the right to fly. County administrators will have to consider whether use of a "surveillance camera" overrides the public's right to privacy on a case-by-case basis.
Aerial photographers and recreational drone users may have to rely on alternative methods to get their footage. The justices said dash cams and cameras affixed to bicycle handlebars are not in violation of the public's right to privacy because the devices are within reaching distance of the people who operate them.
The ruling targets recreational and commercial users alike, and makes zero exceptions for journalists. Sweden's leading drone company Unmanned Aerial System (UAS) said up to 3,000 people may lose their jobs as a result of the court's decision. Cont'd...
Virtual Immortality: Reanimating characters from TV shows
From James Charles, Derek Magee, David Hogg:
The objective of this work is to build virtual talking avatars of characters fully automatically from TV shows. From this unconstrained data, we show how to capture a character’s style of speech, visual appearance and language in an effort to construct an interactive avatar of the person and effectively immortalize them in a computational model. We make three contributions (i) a complete framework for producing a generative model of the audiovisual and language of characters from TV shows; (ii) a novel method for aligning transcripts to video using the audio; and (iii) a fast audio segmentation system for silencing nonspoken audio from TV shows. Our framework is demonstrated using all 236 episodes from the TV series Friends (≈ 97hrs of video) and shown to generate novel sentences as well as character specific speech and video... (full paper)
Foxconn reaches 40,000 robots of original 1 million robot automation goal
From Next Big Future: In 2011, Foxconn had announced a plan to replace 500,000 mainland Chinese workers with 1 million robots over the next 3-5 years.
Foxconn is the company that builds Apple's iPhone and iPad hardware and many of the android smartphones as well.
Foxconn, has so far installed 40,000 production robots across China as it looks to minimize the number of people it employs.
With the exception of some components like servo motors and speed reducers, the robots are being built entirely in-house, Foxconn's Dai Chia-peng told Taiwan's Central News Agency, as quoted by DigiTimes. It's unclear how many of the so-called "Foxbots" are being used to manufacture Apple products.
The machines are, however, said to be operating an industrial facility in Zhengzhou, a tablet plant in Chengdu, and computer/peripherals plants in Kunshan and Jiashan. Cont'd...
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