CNC, Motion Control
MIT researchers have developed an autonomous control system that “learns” the steering patterns of human drivers as they navigate roads in a small area, using only data from video camera feeds and a simple GPS-like map. See video.
The Duke-led GUIde Consortium develops faster, more accurate simulations of turbine blade vibrations to help aeronautical engineers develop safer jet turbines with lower maintenance costs.
Rice University engineers are building a portable hyperspectral camera, Tunable Light-Guide Image Processing Snapshot Spectrometer (TuLIPSS), which allows researchers to instantly capture data across the visible and near-infrared spectrum.
Orders received by the German machine tool industry in the first quarter of 2019 were 21% compared to the same period last year due to a cooling global economy and other challenges.
Siemens' Sinumerik 828D CNC has been upgrading with version 4.8 of the operating system, which offers an array of hardware and software solutions to enable machine tool manufacturers to leverage the full productivity potential of the digital factory.
Cornell researchers use two inexpensive cameras on either side of the windshield to detect objects with high accuracy and a low cost. See link to video for more information.
Collaborative robots have come a long way in the last several years and recent innovations such as embedded vision and machine learning have allowed them to do more.
Collaborative robots are useful for CNC machine tending applications because they can be deployed quickly and can improve productivity on the plant floor.
International: Industrial artificial intelligence (AI) technology applications are among the important trends in digital transformation for manufacturing and Industrie 4.0 advancements.
Simulation, modeling, and virtual commissioning are becoming easier to apply on different levels in automation. Interfaces to third-party simulation tools may be built into your software development suite already.