DIY Position Tracking Using HTC Vive's Lighthouse
From Alexander Shtuchkin:
Code & schematics for position tracking sensor using HTC Vive's Lighthouse system and a Teensy board.
General purpose indoor positioning sensor, good for robots, drones, etc.
3d position accuracy: currently ~10mm; less than 2mm possible with additional work.
Update frequency: 30 Hz
Output formats: Text; Mavlink ATT_POS_MOCAP via serial; Ublox GPS emulation (in works)
HTC Vive Station visibility requirements: full top hemisphere from sensor. Both stations need to be visible.
Positioning volume: same as HTC Vive, approx up to 4x4x3 meters.
Cost: ~$10 + Teensy 3.2 ($20) (+ Lighthouse stations (2x $135))
Skills to build: Low complexity soldering; Embedded C++ recommended for integration to your project.
(Github page)
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...
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...
The 10 Coolest Drones at the World's Biggest Robot War Games
David Hambling for Popular Mechanics: Unmanned Warrior is the world's biggest robot war game, currently taking place for two weeks off the coast of Scotland. It was proposed by First Sea Lord Admiral George Zambellas to give airborne, surface, and underwater drones from various suppliers a chance to show off their prowess. Unmanned Warrior is part of Joint Warrior, an exercise involving 30 warships and submarines from 18 nations. But for the newly inaugurated robot portion, the U.S. is a strong presence, with teams from the Office of Naval Research (ONR).
As robots continue packing increased capability in smaller, lower-cost packages, these exercises are a glimpse into the future of naval warfare. Of course, none of these drones are armed for these exercises. These Unmanned Warriors are not trusted to carry weapons—at least not yet.
The first-ever Unmanned Warrior will wrap up on October 20. Cont'd...
Robot Sews First Complete Garment
From Sewbo: Sewbo Inc. on Thursday announced that it has achieved the long-sought goal of automated sewing, by using an industrial robot to sew together a T-shirt. This milestone represents the first time that a robot has been used to sew an entire article of clothing.
Despite widespread use in other industries, automation has failed to find a place in apparel manufacturing due to robots’ inability to handle limp, flexible fabrics. Sewbo avoids these hurdles by temporarily stiffening fabrics, making it easy for conventional robots to build clothes as if they were made from sheet metal. Afterwards, the process is reversed to produce soft, fully assembled garments.
“Our technology will allow manufacturers to create higher-quality clothing at lower costs in less time than ever before,” said Jonathan Zornow, the technology’s inventor. “Avoiding labor issues and shortening supply chains will help reduce the complexity and headaches surrounding today’s intricate global supply network. And digital manufacturing will revolutionize fashion, even down to how we buy our clothes by allowing easy and affordable customization for everyone.”
Sewbo performed their feat using an off-the-shelf industrial robot, which they taught to operate a consumer sewing machine. Having successfully proved its core concept, Sewbo is now expanding its team and working towards commercializing its technology... ( company webpage , MIT article )
The First Autonomous, Entirely Soft Robot
From Leah Burrows and Harvard: A team of Harvard University researchers with expertise in 3-D printing, mechanical engineering, and microfluidics has demonstrated the first autonomous, untethered, entirely soft robot. This small, 3-D-printed robot — nicknamed the “octobot” — could pave the way for a new generation of such machines...
...Through our hybrid assembly approach, we were able to 3-D print each of the functional components required within the soft robot body, including the fuel storage, power, and actuation, in a rapid manner,” said Lewis. “The octobot is a simple embodiment designed to demonstrate our integrated design and additive fabrication strategy for embedding autonomous functionality.”... (full article)
See what this squishy octopus-inspired robot can do
The latest revolutionary robot isn’t the metallic, costly machine you’d expect: It’s squishy like Silly Putty, wireless, battery-less and made for pennies by a 3D printer.
Meet Octobot. It looks like a tiny octopus and is designed to mimic that slithery creature to get through cracks and tight places, making it ideal as a rescue robot.
A team at Harvard University has created a robot - actually about 300 of them, since they are so cheap to make - that is opposite of the common view of a robot. Soft, not hard. Flexibl,e not rigid. It’s not mechanical, nor electrical. It’s powered by fluids. The discovery is described, photographed and shown on video in the scientific journal Nature. Cont'd...
AMAZON HAS BEGUN TESTING DRONES AT THIS ENGLISH FARM
Kelsey D. Atherton for Popular Science: Flying machines are hard secrets to keep. By their very nature, they soar into the heavens, above the heads of those below. America's military tends to keep its secret planes secret by only flying them in vast swathes of empty desert, until they’re ready for public debut.
But that’s not really an option for Amazon, which is testing delivery drones in the United Kingdom (while it attempts to weave its way through U.S. regulations). So where, exactly, are Amazon drones flying?
A field eight miles south of Cambridge named “Worsted Lodge.” No, really.
In a thorough photo-essay at Business Insider, reporter Sam Shead pinpoints and explores the site and the field, until turned away by a security guard. Cont'd...
Pepper the 'emotional robot' makes its way to Silicon Valley
Lauren Goode for The Verge: Pepper, the humanoid robot created by Aldebaran Robotics and SoftBank Mobile, is slowly making its way to the US — and it’s starting in Silicon Valley. The robot was seen in action this week at the b8ta store in Palo Alto, California, a gadget shop launched by former Nest employees.
Pepper was on a demo loop at the store, so we weren’t able to fully interact with it. But the idea behind Pepper is that it’s supposed to interpret and respond to a variety of customer needs. Using a combination of 2D and 3D cameras in its eyes and mouth, plus four multi-directional microphones, Pepper is able to "read" four human emotions — happiness, joy, sadness, and anger — and respond accordingly. It rolls up to you, raises its hands in greeting when you introduce yourself, and turns its head toward you when you move or talk. It is toylike and adorable. Cont'd...
Insect-Sized Drone Will Spy On Terrorists
Source - Sky News: An insect-sized spy drone with four flapping wings and four legs is set to become Britain's latest weapon in the war on terror.
The Dragonfly drone fits in the palm of a hand and has four flapping wings and four legs.
It can fly through the air with great agility, allowing it to penetrate buildings through open windows, and perch on surfaces to eavesdrop.
It can detect incoming objects and buildings, meaning it can avoid obstacles at high speeds.
It is one of a number of pieces of kit being developed by the Ministry of Defence as part of an innovation drive. Cont'd...
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
From Computer Vision Freiburg: Recent work has shown that optical flow estimation can be formulated as a supervised learning task and can be successfully solved with convolutional networks. Training of the so-called FlowNet was enabled by a large synthetically generated dataset. The present paper extends the concept of optical flow estimation via convolutional networks to disparity and scene flow estimation. To this end, we propose three synthetic stereo video datasets with sufficient realism, variation, and size to successfully train large networks. Our datasets are the first large-scale datasets to enable training and evaluating scene flow methods. Besides the datasets, we present a convolutional network for real-time disparity estimation that provides state-of-the-art results. By combining a flow and disparity estimation network and training it jointly, we demonstrate the first scene flow estimation with a convolutional network.
his video shows impressions from various parts of our dataset, as well as state-of-the-art realtime disparity estimation results produced by one of our new CNNs... (full paper)
Siemens' World-record Electric Aircraft Motor Punches Above Its Weight
From Gizmag: Researchers at Siemens have created a new prototype electric motor specifically designed for aircraft that weighs in at just 50 kg (110 lb) and is claimed to produce about 260 kW (348 hp) at just 2,500 RPM. With a quoted power five times greater than any comparable powerplant, the new motor promises enough grunt to get aircraft with take-off weights of up to 1,800 kg (2 ton) off the ground...
... As a result, the new aircraft electric drive system achieves a claimed weight-to-performance ratio of 5 kW per kilogram. This ratio is an exceptional figure – especially if compared to similarly powerful industrial electric motors used in heavy machinery that produce less than 1 kW per kilogram, or even to more efficient electric motors for vehicles that generate around 2 kW per kilogram... (full article)
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