NHL Goal Celebration Hack With A Hue Light Show And Real Time Machine Learning

From François Maillet: In Montréal this time of year, the city literally stops and everyone starts talking, thinking and dreaming about a single thing: the Stanley Cup Playoffs. Even most of those who don’t normally care the least bit about hockey transform into die hard fans of theMontréal Canadiens, or the Habs like we also call them. Below is a Youtube clip of the epic goal celebration hack in action. In a single sentence, I trained a machine learning model to detect in real-time that a goal was just scored by the Habs based on the live audio feed of a game and to trigger a light show using Philips hues in my living room... ( full article )

AGROBOT: Strawberry Harvesters

From AGROBOT: AGB® manages a set of robotic manipulators able to locate and identify your strawberries, selecting them based on their size and degree of ripeness. This system analyzes your fruit one by one, and it is responsible for ordering cutting movements that guarantee accuracy, smoothness, and sensitivity in the strawberry treatment. The fruit, picked with the strictest hygiene conditions, is driven by our FlexConveyor System to the packaging area. Select the ripeness you would pick up. AGvision ® is an artificial vision system that identifies your fruit with maximum accuracy and consistency. Its advanced technology, implement in real time a protocol for morphological and color analysis which systematically return the ripeness of the fruit, discriminating exclusively those strawberries which meets the quality standards previously set by the farmer... ( more details )

Rethinks New Robot: Sawyer

From Rethink: Introducing Sawyer – the revolutionary new high performance collaborative robot designed to execute machine tending, circuit board testing and other precise tasks that are impractical to automate with industrial robots.  Smaller Footprint, Longer Reach Smaller and lighter weight than Baxter, and with 7 DOF and a 1026 mm reach, Sawyer can maneuver into the tight spaces and varied alignments of work cells designed for humans. International Availability With a base price of $29,000, Sawyer will initially be available in North America, Europe, China and Japan, with limited availability beginning in mid-2015. Intera 3 Like Baxter, Sawyer is powered by the industry’s best and most intuitive software platform, Intera.  It features the same iconic “face” screen (with a refreshed and even more expressive design) that helps it communicate with co-workers, along with the train-by-demonstration user interface that revolutionized how robots can be deployed on factory floors.  Sawyer runs on the same version of Intera as Baxter, and will continue to evolve and improve with regular upgrades... (more details)   (more about Intera software)  

Star Wars' BB-8

From the new Star Wars:

NASA's Modular Robotic Vehicle (MRV)

From NASA at the Johnson Space Center:

3D Robotics' Solo

From 3D Robotics: Today 3DR announced Solo, an all-in-one personal drone whose ease of use and powerful new features kick off a new aerial age. With computing power unmatched in the industry—from two integrated Linux computers, one on the craft and one in the controller—Solo delivers several world-first technologies, such as unfettered in-flight access to GoPro controls, including wireless HD streaming straight to mobile devices, and effortless computer-assisted Smart Shot flight features that allow even new pilots to capture professional aerial video from day one. Computer-assisted cinematography Solo’s intelligence unlocks powerful and one-of-a-kind computer-assisted Smart Shots (patent pending). Just set up the exact shot you want in real time, then tap “play” on the app and Solo will execute it with a level of precision and a soft touch that even seasoned cinema pilots can’t match. And with a list of Smart Shots to choose from, the perfect shot is always just a few taps away. Cable cam and Orbit allow you to create a known and safe flight path along a virtual track in space, freeing you to shift your focus to getting the shot you want; or simply hit “play” and let Solo fly itself while simultaneously working the camera for you, as smooth and even as an expert cameraman. Follow mode lets you go completely hands-free, while Solo keeps up with your every move. Solo also features a one-touch aerial Selfie for a dramatic and customizable establishing Smart Shot of you and your surroundings. It’s all in service of Solo’s guiding principle: Get the shot. Every time. Stream HD GoPro video to mobile devices or through HDMI Solo is the world’s first drone to wirelessly deliver HD video from your GoPro to your iOS or Android mobile device, at ranges of up to half a mile. Solo’s controller has HDMI output for live HD broadcast—to FPV goggles, high-quality field monitors, Jumbotrons at live events, even news vans—and with a staggeringly low video latency your live video is immediate and fluid for an “in-the-moment” feel. For instant social sharing of your aerial videos, you can even record the live video stream directly from the mobile app to your device’s camera roll... ( full details )

DJI Phantom 3

From DJI: More videos and complete specs... ( here )

How to Save a Firefighter's Life

As more robots are designed and implemented in fighting fires, the safer it becomes for the human firefighters. These robots, combined with rescue robots, can ensure that every fire fighter comes home after the job is done.

Lumipen 2: Robust Tracking for Dynamic Projection Mapping

From University of Tokyo: In our laboratory, the  Lumipen system  has been proposed to solve the time-geometric inconsistency caused by the delay when using dynamic objects. It consists of a projector and a high-speed optical axis controller with high-speed vision and mirrors, called  Saccade Mirror  ( 1ms Auto Pan-Tilt  technology). Lumipen can provide projected images that are fixed on dynamic objects such as bouncing balls. However, the robustness of the tracking is sensitive to the simultaneous projection on the object, as well as the environmental lighting... ( full article )  

Scalability and the Commercial Reality of 3D Printing in the Future

Here is a reprint of an interview with Gerd Manz of the adidas Group who will speak at AMPA14 about the applications of 3D printing in the Sporting Goods Industry.

The Impact of 3-D printing on Supply Chains

Presently, 3-D printing is having a small effect on distribution, but in the future it could put a serious dent in the supply chain.

The First 5 Material Liquid Cooled 3D Printer

The most unique feature is the ability to print in 5 different colors or materials in a single print, without doing any manual color swapping.

Where will the 3D Printing Industry Cluster?

Innovation networks tend to cluster around specific regions because all the necessary ingredients of finance, people, infrastructure & regulation tend to converge in one area by accident & design.

Algorithm that harnesses data from a new sensor could make autonomous robots more nimble.

MIT paper from Andrea Censi and Davide Scaramuzza: The agility of a robotic system is ultimately limited by the speed of its processing pipeline. The use of a Dynamic Vision Sensors (DVS), a sensor producing asynchronous events as luminance changes are perceived by its pixels, makes it possible to have a sensing pipeline of a theoretical latency of a few microseconds. However, several challenges must be overcome: a DVS does not provide the grayscale value but only changes in the luminance; and because the output is composed by a sequence of events, traditional frame-based visual odometry methods are not applicable. This paper presents the first visual odometry system based on a DVS plus a normal CMOS camera to provide the absolute brightness values. The two sources of data are automatically spatiotemporally calibrated from logs taken during normal operation. We design a visual odometry method that uses the DVS events to estimate the relative displacement since the previous CMOS frame by processing each event individually. Experiments show that the rotation can be estimated with surprising accuracy, while the translation can be estimated only very noisily, because it produces few events due to very small apparent motion ... ( full paper )

Leap Motion V2 Tracking

From Leap Motion's developer blog : V2 retains the speed and positional accuracy found in V1, but the software also now tracks the actual joints and bones inside each of the user’s fingers. This leads to some immediate benefits over V1: Finger and hand labels – every finger, hand, and joint now has anatomical labels like ‘pinky’, ‘left hand’, and ‘proximal phalanges’ Occlusion robustness – fingers are tracked even when they’re not seen by the controller, as might happen if you turned your hands completely vertically or intertwined the fingers of your left and right hands Massively improved resistance to ambient infrared light – sunlight, powerful halogens, etc. Much more granular data for developers about the user’s hands and fingers – 27 dimensions per hand, in addition to special parameters like grab/pinch APIs

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