Generation of a robotic cell based on techniques of imaging and reproduction.

摘要

Robots have been used in industry since 1965 to extend the capability of machines to perform certain tasks formerly done by humans, and to control sequences of operations without human intervention. A physical robot is normally composed of a main frame (manipulator) consisting of 3 linear axes (joints) that move in the x-y-z directions called a Cartesian Robot.; One model type is the Seiko D-TRAN XM5000 Cartesian Robot System donated to the School of Engineering at California State University Long Beach. The miscellaneous robotic parts, donated to the University, had to be assembled. A software program, DARLTalk, obtained by the Seiko vendor [1] was installed on a PC and then interfaced with the robot's controller. After the robot's assembly was complete, this thesis student used the DARLTalk communication software as the primary means to program and operate the robotic cell.; The aim of this thesis is to study the adaptation of pattern recognition to a robotic cell. In order to accomplish the adaptation of pattern recognition a handwritten image is scanned using an off the shelf commercial scanner. The scanning process creates a bitmap file, an industry standard file format for graphic data. The next step is the conversion of the bitmap file to a postscript ASCII file of characters to represent the image. This ASCII file is used in the next major phase of the process, the pattern recognition phase. This process creates an output file that duplicates the image with the appropriate executable coordinates formatted for the robotic cell to read.