Automated Design Laboratory
From DDL Wiki
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'''Institution:''' University of Texas at Austin | '''Institution:''' University of Texas at Austin | ||
| - | <br>'''Director:''' Matthew Campbell | + | <br>'''Director:''' [[Matthew Campbell]] |
The Automated Design Lab is a research lab at the Department of Mechanical Engineering at the University of Texas at Austin dedicated to establishing new computer-based methods and design tools to further increase the speed and quality of engineering design. By combining engineering innovations with methods from computer science and cognitive psychology, we are able to develop automated tools capable of solving design problems independent of a user, as well as interactive tools that bring the user and the computer together as a symbiotic design team. | The Automated Design Lab is a research lab at the Department of Mechanical Engineering at the University of Texas at Austin dedicated to establishing new computer-based methods and design tools to further increase the speed and quality of engineering design. By combining engineering innovations with methods from computer science and cognitive psychology, we are able to develop automated tools capable of solving design problems independent of a user, as well as interactive tools that bring the user and the computer together as a symbiotic design team. | ||
Revision as of 19:10, 3 February 2007
Institution: University of Texas at Austin
Director: Matthew Campbell
The Automated Design Lab is a research lab at the Department of Mechanical Engineering at the University of Texas at Austin dedicated to establishing new computer-based methods and design tools to further increase the speed and quality of engineering design. By combining engineering innovations with methods from computer science and cognitive psychology, we are able to develop automated tools capable of solving design problems independent of a user, as well as interactive tools that bring the user and the computer together as a symbiotic design team. Our current research focuses on innovating the representation, generation, evaluation and guidance stages of computational design synthesis.
