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David Bourne is a Principal Systems Scientist at the Robotics Institute, Carnegie Mellon University. His research is focused on building intelligent systems for automated manufacturing. He aims to design artifacts that can be sent to automated production facilities for part production. His current investigations are centered on several research issues within the design area, including representing behavior in the design process and capturing intended behaviors of part geometry. Additionally, Bourne is developing representations for tolerances in design and manufacturing, which addresses how feedback from manufacturing can be integrated into engineering design. He is also involved in the setup processes for machine setups and descriptions of stock material that can be sent to manufacturing workstations for automatic assembly. His research projects include aspects of planning for particular manufacturing processes, sensor fusion to extract and combine information from various sensors, and developing methods for real-time, distributed coordination in environments with their own set goals. His aim is to provide a comprehensive description of the work environment to support automated production of high-quality parts, thus enhancing the capabilities of intelligent systems in manufacturing.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.