We address the fundamental issue of fully automated design (FAD) and construction of inexpensive robots and their controllers. Rather than seek an intelligent general purpose robo...
Jordan B. Pollack, Hod Lipson, Pablo Funes, Sevan ...
The problem of designing input signals for optimal generalization in supervised learning is called active learning. In many active learning methods devised so far, the bias of the...
We summarize some current trends in embedded systems design and point out some of their characteristics, such as the chasm between analytical and computational models, and the gap ...
Background: Procedures for genetic analyses based on oligonucleotide probes are powerful tools that can allow highly parallel investigations of genetic material. Such procedures r...
This paper describes and exercises a new design paradigm for cast components. The methodology integrates foundry process simulation, non-destructive evaluation (nde), stress analys...