There are several key barriers to the implementation of predictive maintenance technologies, but they can be alleviated.
Human-robot collaboration (HRC) is becoming more common, but humans still need to be aware of their machine counterparts. Companies have developed techniques to make it easier for humans and robots to safely interact and improve plant floor productivity.
MIT researchers have developed a learning-based particle simulator, could give industrial robots a more refined touch and help them make predictions about interacting with solid objects and liquids.
MIT researchers have developed a sensor that can monitor wiring in a building or ship, and signal when repairs are needed.
Measure multiple variables to deliver data-rich IIoT applications.
Vision-guided robot (VGR) applications are useful for manufacturing applications and are quickly becoming commonplace as technology costs continue to drop.
Hardware and software advances such as improved sensors and the cloud have helped robot grippers enable safer, closer human-robot collaboration, ease of use, and flexibility for many different applications.
Automation can be enhanced in a number of ways whether its through improving process instrumentation or unlocking the power of the Internet of Things (IoT)
Getting an accurate process variable measurement depends on many factors, but it must begin with the right instrumentation.
Wireless alarms for facility showers can help workers provide quicker first aid to a worker if they have been injured in a remote area or late at night.