Matt McFarland for CNN Money: Google, a company that's built everything from a search engine to a self-driving car, will now try its hand at a city neighborhood.
A general in depth analysis shows that the highest encoder resolutions are required for very precise speed control. The encoder resolution increases with the square of the demanded speed accuracy.
Warehouses should be thinking about safety, simplicity and software.
Greg Nichols for ZDNet: The reason is that programming a robot is no easy task, which presents challenges when it comes to deployment. That's particularly true of small- and mid-sized businesses, which are unlikely to have a qualified roboticist onboard.
The basic idea of AI problem-solving is very simple, but its implementation is not so simple. The AI robot collects information about a situation through sensors. The computer compares this information to stored data and decides what the information suggests. The computer runs through various possible actions and predicts which action will be most successful based on the collected information.
Mississippi's WALT Machine Inc. specializes in high-precision optical work for scientific camera assemblies. Each spring WALT Machine must meet a massive challenge: Deliver around 6000 camera housings in 2 months' time, with only one CNC machine.
Tim Sandle for Digital Journal: A newly created robotic gripper has researchers at University of California - San Diego excited. The 'friendly' new robot could help advance the automation of construction and building works.
Greg Nichols for ZDNet: The process begins on a robotic assembly line in a centralized kitchen, but pizzas finish cooking in ovens inside of trucks en route to delivery.
With the accelerating growth of the Internet of Things (IoT), it is increasingly important to identify and implement safety-related systems for smart grids, connected vehicles, robotics, industrial control systems, smart factories, and more.
Besides being expensive and proprietary, migrating to newer products is challenging when hardware components are involved.
Amit Katwala for IMECHE: The new model will incorporate internet connectivity and have the ability to control domestic appliances with voice commands, like the Amazon Echo or Google Home devices, but will also behave and move like a real dog.
FABTECH 2017 will be held from November 6th - 9th in Chicago, Illinois. This RoboticsTomorrow.com Special Tradeshow report aims to bring you news, articles and products from this years event.
Using our technology, we are able to reduce the cost of the whole vehicle (including the chassis, the computing hardware, and the sensing hardware, and the software stack) under $10,000 USD.
Guanhong Hu for Quartz: Shuhei Miyashita and his team used the origami concept to make exoskeletons for a magnetic cube robot, called "Primer", letting it morph on demand to do various things in different conditions.
Elizabeth Woyke for MIT Technology Review: At least 15 community colleges offer them, but it's not clear how many students parlay their new skills into jobs.
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Zaber's X-LRQ-DE Series of linear stages have high stiffness, load, and lifetime capabilities in a compact size. The integrated linear encoder combined with stage calibration provides high accuracy positioning over the full travel of the device. At 36 mm high, these stages are excellent for applications where a low profile is required. The X-LRQ-DE's innovative design allows speeds up to 205 mm/s and loads up to 100 kg. Like all Zaber products, the X-LRQ-DE Series is designed for easy set-up and operation.