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...
The electroadhesive clutch is a general-purpose clutch for exoskeletons, offering increased functionality while being lightweight and consuming very little energy.
The surgical robot device market was estimated to be $3.2 billion in 2014 and forecast to reach $20 billion by 2021 as next generation devices, systems and instruments are introduced to manage surgery through small ports in the body instead of large open wounds.
Humans will always be required within an operation because they will need to process the one-off transactions that the robot has not been equipped to handle, and the robot will need to be programmed for any process changes.
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...
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...
Many police departments have purchased or plan to buy drones for search-and-rescue, arson, disaster relief, and accident investigations. Police officials say the devices can keep officers out of dangerous situations and cover more ground quickly, especially in the case of a missing child or an armed suspect on the run, especially in rural areas.
Our programs are all-inclusive. We provide the robots, and a login to a learning portal with all the lessons, exercises, and the programming interface.
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)
In the long term, job roles will shift away from their traditional remits and evolve to meet the needs of the modern, automated workplace.
Robotic surgery has treated over 3 million patients
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)
Its important that your IT staff understand the impact of automation - more importantly, that it is not a replacement for your IT team.
Raspberry Pi serves as the main controller board for the setup, capturing the images using the Pi Camera, controlling the Line LASER diode and providing control signals to the EasyDriver (Stepper Motor Driver).
The ABC of RPA, Part 5: What Is the Cost of Automation and How Do I Justify It to the Leadership Team?
Weve put together a breakdown of the cost of automation, and how to justify it to the leadership team.
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With the SLS, SOS, and STO functionalities, the SCHUNK EGN gripping system certified in accordance with DIN EN ISO 13849 enables safe human/machine collaboration. If the production process is interrupted by an emergency shut-off, the SCHUNK EGN goes into either a safely limited speed mode or a safe stop mode depending on the activated protection zone. In contrast to other solutions available on the market, the SCHUNK safety gripping system is continuously powered even in the safe operating stop so that the gripped parts are reliably held even without mechanical maintenance of gripping force. As soon as the protection zone is released, the gripper immediately switches back to the regular operating mode without the system having to be restarted.