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Thesis (M.A.) from the year 2015 in the subject Engineering - Robotics, language: English, abstract: The year is 2015, MEMS (Microelectromechanical Systems) technology is a growing field that requires more automative tools to lower the cost of production. Current industry standards of tele-operated 3D manipulated MEMS parts to create new devices are labor intensive and expensive process. Using computer vision as a main feedback tool to recognize parts on a chip, it is possible to program a close loop system to instruct a computer to pick and assemble parts on the chip without the aid of a user. To make this process a viable means, new chip designs, robotic systems and computer vision algorithms working along side with motion controllers were developed. This work shows in detail the hardware, software and processes in place to make it possible.
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Thesis (M.A.) from the year 2015 in the subject Engineering - Robotics, language: English, abstract: The year is 2015, MEMS (Microelectromechanical Systems) technology is a growing field that requires more automative tools to lower the cost of production. Current industry standards of tele-operated 3D manipulated MEMS parts to create new devices are labor intensive and expensive process. Using computer vision as a main feedback tool to recognize parts on a chip, it is possible to program a close loop system to instruct a computer to pick and assemble parts on the chip without the aid of a user. To make this process a viable means, new chip designs, robotic systems and computer vision algorithms working along side with motion controllers were developed. This work shows in detail the hardware, software and processes in place to make it possible.