Rob Trice & Seana Day via Forbes: Last month as our Mixing Bowl colleagues Michael Rose and An Wang were interviewing Sonny Ranaswamy of the USDA’s NIFA to better understand current US food and agriculture labor issues, we were representing The Mixing Bowl in discussions on potential solutions to food production labor issues through automation and robotics. At this year’s RoboUniverse event in San Diego there was a full-day track on December 14th dedicated to the application of robotics to agriculture. The industry track, pulled together in great part by Nathan Dorn, CEO of Food Origins and an Advisor to The Mixing Bowl, featured a knowledgeable group of automation/robotics experts and food producers who drew on their experience to define the opportunities and sharpen focus on the challenges. Nathan authored a detailed summary of the day in a post on Agfunder. Our conclusion is that there is no denying that we are still in the early days of adoption of robotics in agriculture. Cont'd...
Strong growth in demand for Driver Monitoring Systems (DMS) is evident from the increase in the number of automotive manufacturers and suppliers showcasing DMS this year. The increased industry adoption is driven by the need for intelligent advanced driver assistance (ADAS) systems, including driver distraction and drowsiness protection, as well as needs in enhanced driver information systems and semi-autonomous vehicles.
Partnering with Intel, MIT, and Stibo Accelerator, the robot that premiered at CES is now available for developers worldwide
128 companies got funded, some multiple times. $1.95 billion, 50% more than 2015 which was also a phenomenal year with over $1.32 billion funded.
Eyeris Emotional AI and Face Analytics Technology Gains Momentum in Commercialization in the Automotive and Social Robot Markets
Demos at CES 2017 and Sponsors the Smart Cities Hackathon
Paralympian Athlete, Helgi Sveinsson will be participating with us wearing the Ã-ssur POWER KNEEâ„¢ motor powered knee joint!
CAD files of sheet metal parts published by RAPID will save precious design time to product developers
On December 21st 2016, TuSimple, a Chinese autonomous driving startup signed a strategic cooperation agreement with the government in Caofeidian District of Tangshan, Hebei Province, China. According to the agreement, TuSimple has been given permission to test its autonomous trucks in Caofeidian District and it is expected to begin its first trial operation of inter-city automated logistics in October, 2017. This makes it possible for TuSimple to realize commercialization of autonomous trucks earlier than American companies like Otto and Peloton.
Given the ascent in the field of geoinformatics as a vocation, an expanding number of individuals wish to pick it as a profession. The purposes of this decision are self-evident. Geoinformatics is an up and coming profession.
Lucid Motors, the luxury mobility company, and Mobileye N.V. (NYSE: MBLY), the global leader in Advanced Driver Assistance Systems and autonomous driving technologies, announced a collaboration to enable autonomous driving capability on Lucid vehicles.
Tom Simonite for MIT Technology Review: Each of these trucks is the size of a small two-story house. None has a driver or anyone else on board. Mining company Rio Tinto has 73 of these titans hauling iron ore 24 hours a day at four mines in Australia’s Mars-red northwest corner. At this one, known as West Angelas, the vehicles work alongside robotic rock drilling rigs. The company is also upgrading the locomotives that haul ore hundreds of miles to port—the upgrades will allow the trains to drive themselves, and be loaded and unloaded automatically. Rio Tinto intends its automated operations in Australia to preview a more efficient future for all of its mines—one that will also reduce the need for human miners. The rising capabilities and falling costs of robotics technology are allowing mining and oil companies to reimagine the dirty, dangerous business of getting resources out of the ground. Cont'd...
Alan Boyle for GeekWire: If there are any Robin Hoods out there who are thinking about shooting down drones while they’re making deliveries, Amazon has a patented plan to stop you. The patent, filed in 2014 but published just last week, lays out countermeasures for potential threats ranging from computer hacking to lightning flashes to bows and arrows. If nothing else, the 33-page application illustrates how many things could possibly go wrong with an autonomous navigation system for unmanned aerial vehicles, or UAVs. The “compromise system” that Amazon’s engineers propose relies on an array of sensors to orient the drone based on the sun’s position in the sky, if need be. That’s in case the drone gets confused by, say, lightning or a muzzle flash. Cont'd.. .
Here is a summary of what Tradeshows, Conferences & Exhibitions to look forward to in the coming months.
The Future of Shopping is Here Today!
Steve Arar for All About Circuits: Recently, Vijay Kumar’s lab at the University of Pennsylvania in cooperation with researchers from Qualcomm has unveiled a quadrotor which can fly aggressively through a window. You may think that you have seen similar robots before; however, there is a big difference between previously designed robots and this new technology. Generally, to exhibit challenging maneuvers, a quadrotor depends on an array of cameras mounted on the walls and some external processors. The image captured by the cameras is processed and the outcome is delivered to the robot. The computer can issue precise commands and the only thing that the robot needs to do is to follow the orders. However, the new robot performs both the image capturing and processing onboard. The quadrotor carries an IMU, a Qualcomm Snapdragon, and Hexagon DSP. With the onboard sensors and processors, the robot is able to perform localization, state estimation, and path planning autonomously. Cont'd...
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BitFlow has offered a Camera Link frame grabbers for almost 15 years. This latest offering, our 6th generation combines the power of CoaXPress with the requirements of Camera Link 2.0. Enabling a single or two camera system to operate at up to 850 MB/S per camera, the Axion-CL family is the best choice for CL frame grabber. Like the Cyton-CXP frame grabber, the Axion-CL leverages features such as the new StreamSync system, a highly optimized DMA engine, and expanded I/O capabilities that provide unprecedented flexibility in routing. There are two options available; Axion 1xE & Axion 2xE. The Axion 1xE is compatible with one base, medium, full or 80-bit camera offering PoCL, Power over Camera Link, on both connectors. The Axion 2xE is compatible with two base, medium, full or 80-bit cameras offering PoCL on both connectors for both cameras. The Axion-CL is a culmination of the continuous improvements and updates BitFlow has made to Camera Link frame grabbers.