Targets co-investment of $5 million and kicks off Season 3 Summit
Jaybridge Robotics has announced the successful deployment of several major new capabilities for Kinze® Manufacturings autonomous row-crop solution, including the ability to run multiple combines and autonomous carts in the field simultaneously.
DARPA program seeks novel mathematical research for quantifying and predicting uncertainty in design models as alternative to costly and repetitive testing
Grandville Public Schools has always been a leader in competitive robotics. The school district started with one High School FIRST Robotics team in 1998.
Voxel8 announces its dual-head printer that prints thermoplastics and highly conductive silver inks together.
From Nvidia's CES press conference: The DRIVE PX platform is based on the NVIDIA® Tegra® X1 processor, enabling smarter, more sophisticated advanced driver assistance systems (ADAS) and paving the way for the autonomous car. Tegra X1 delivers an astonishing 1.3 gigapixels/second throughput – enough to handle 12 two-Megapixel cameras at frame rates up to 60 fps for some cameras. It is equipped with 10 GB of DRAM memory and combines surround Computer Vision (CV) technology, extensive deep learning training, and over-the-air updates to transform how cars see, think, and learn. DEEP LEARNING COMPUTER VISION Conventional ADAS technology today can detect some objects, do basic classification, alert the driver, and in some cases, stop the vehicle. DRIVE PX takes this to the next level with the ability to differentiate an ambulance from a delivery truck or a parked car from one about to pull into traffic. The system can now inform the driver, not just get their attention with a warning. The car is not just sensing, but interpreting what is taking place around it—an essential capability for auto-piloted driving... ( more info )
With a grand unveiling on January 8 during the Robotics conference track at the 2015 International CES ®, Robotics Trends Media launched the new RoboticsTrends.com, a consumer guide to lifestyle enhancement with robotics and AI technology.
New Investors GE Ventures and Goldman Sachs Bring Cumulative Investment to $100 Million
The new Servo-Tek Products Company tachometer catalog includes detailed specifications of all Servo-Tek high performance DC tachometers for precision speed control applications.
Ultra-Compact Enterprise SSD Boot Drive Judged on Design, R&D and Quality
From Empire Robotics: The VERSABALL is a squishy balloon membrane full of loose sub-millimeter particles. The soft ball gripper easily conforms around a wide range of target object shapes and sizes. Using a process known as “granular jamming”, air is quickly sucked out of the ball, which vacuum-packs the particles and hardens the gripper around the object to hold and lift it. The object releases when the ball is re-inflated. VERSABALL comes in multiple head shapes and sizes that use the same pneumatic base... ( Empire Robotics' site )
RECYCLE RUSHSM Game Revealed by Dean Kamen to Nearly 75,000 High-School Students Worldwide at the 2015 FIRST® Robotics Competition Season Kickoff Students take advantage of opportunity to be mentored by worlds best engineers Senator for New Hampshire Jeanne Shaheen (D-N.H.) noted: "Knowledge in science, technology, engineering, and math (STEM) subjects is the key to success."
EVB: Replace the brain of your LEGO® EV3 with BeagleBone / X PlusOne: Your Ultimate Hover + Speed Aerial Camera Drone / The ProtoCam+: An easy way to build projects and prototypes around your Raspberry Pi Camera Module with your A+ and B+ Raspberry Pi / Tektyte: LogIT Specialised Circuit Testers
Standard routing and protection solutions for cable management from TrackMotion cable carrier to robot base.
From Yezhou Yang, Yi Li, Cornelia Fermuller and Yiannis Aloimonos: In order to advance action generation and creation in robots beyond simple learned schemas we need computational tools that allow us to automatically interpret and represent human actions. This paper presents a system that learns manipulation action plans by processing unconstrained videos from the World Wide Web. Its goal is to robustly generate the sequence of atomic actions of seen longer actions in video in order to acquire knowledge for robots. The lower level of the system consists of two convolutional neural network (CNN) based recognition modules, one for classifying the hand grasp type and the other for object recognition. The higher level is a probabilistic manipulation action grammar based parsing module that aims at generating visual sentences for robot manipulation. The list of the grasping types. Experiments conducted on a publicly available unconstrained video dataset show that the system is able to learn manipulation actions by “watching” unconstrained videos with high accuracy.... ( article at Kurzweilai.net ) ( original paper )
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Industrial Robotics - Featured Product
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