The phenomenal rise of collaborative automation systems over the past decade or so has seen collaborative technologies deployed on a growing number of quality control applications. Collaborative automation enables companies of all sizes to improve throughput and reduce cycle times on inspection tasks.

Seasoned technology veteran brings over 30 years of experience to the position.

Following the automation of manufacturing processes in industry, the fourth industrial revolution is addressing digital connectivity and communication between manufacturing, but also quality assurance systems, i.e., NDT or NDE systems.

Israel-based smart visual inspection company Kitov.ai has significantly simplified the setup of robotic vision inspection systems with CAD2SCAN, a CAD-based automated inspection planning tool.

Manufacturers often look at collaborative robots, or cobots, as an ideal way to enhance production efficiency, with human workers and automation working closely together.

Robot sales have surged over the last few years as companies in every industry recognize robotics and automation can help them compete globally. 

Nondestructive testing of large components can be time consuming and requires several people to work quickly to minimize the impact of testing on the large component manufacturing process.

There is a lot of attention given to the growth of automation, specifically to robotics and artificial intelligence (AI), and its potential impact on the economy and the work force, current and future.

With robot vision guidance systems, both 2D and 3D, flexible material handling is made possible for industrial production and warehousing.

Over the last few years, collaborative robotics has come to the fore as a way to increase manufacturing flexibility and improve ROI. When considering a human-robot collaborative workcell, we explicitly incorporate and expect humans to be safely working close to and/or interacting with the robot during operation.