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Terahertz waves can penetrate opaque materials and provide unique spectral signatures of various chemicals, but their adoption for real-world applications has been limited by the slow speed, large size, high cost and complexity of terahertz imaging systems. The problem arises from the lack of suitable focal-plane array detectors, components that contain radiation detectors used by the imaging system.

A research team led by Mona Jarrahi, and Aydogan Ozcan, both electrical and computer engineering professors at the UCLA Samueli School of Engineering, has invented a new terahertz focal-plane to solve this problem.

By eliminating the need for raster scanning, which captures and displays an image point by point, the research team is able to expedite imaging more than 1,000 times faster than current systems. The new array constitutes the first known terahertz that is fast enough to capture videos and provide real-time, 3D multi-spectral images while maintaining a high signal-to-noise ratio.

How human-robot collaboration will affect the manufacturing industry — https://bit.ly/3S7Skfa


By Nitin Rawat, Manufacturing Head, Addverb

Robotics are employed to boost production and efficiency in the manufacturing sector, and they are capable of working in any hazardous setting. Robotic arms are also employed to perform effective work in the industries. It has been years since the introduction of collaborative robots in the manufacturing industry, and they have now been applied in several applications at manufacturing facilities. Robots these days are exceptionally programmable and controllable, allowing them to perform complex tasks using AI and automation.

Robot applications in manufacturing include assembly, welding, shipping, handling raw materials, and product packing. Robots nowadays collaborate with human workers (co-bots) on practically every task. In manufacturing, robotics is used to automate repetitive activities and streamline assembly workflows. Many industries are now using robots for hazardous and time-consuming tasks that can endanger workers.