Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!wuarchive!udel!rochester!pt.cs.cmu.edu!o.gp.cs.cmu.edu!andrew.cmu.edu!hm02+ From: hm02+@andrew.cmu.edu (Hans P. Moravec) Newsgroups: comp.ai Subject: Re: Shooting pigeons Message-ID: <0buf84m00WBN43NUwc@andrew.cmu.edu> Date: 23 Mar 91 01:40:20 GMT Organization: Carnegie Mellon, Pittsburgh, PA Lines: 22 > loren@ingrid.llnl.gov (Loren Petrich) writes: > You might want to check out alternatives to traditional AI, > such as Neural Nets, Fuzzy Logic, and the kind of robotics that Brooks > has used in his mechanical insects. I make these plugs because these > are techniques that have produced _results_, and that's what one is > supposed to get, right? Expert systems are not used much in robot vision systems, but "traditional" methods such as high pass, low pass and specialized filters, correlation, frequency transforms, and specialized operators are in practical use in industrial robots and such weapons as the Tomahawk cruise missile and fire and forget TV guided bombs and missles, where millions of pixels of image data are processed per second. The neo-cybernetic techniques have yet to prove themselves in such computationally difficult domains. Fuzzy logic, neural nets and reactive organizations have so far been used only in relatively simple contexts, like camera autofocus and train speed control, and a few mobile robots, where the input is limited to a few dozen measurements at a time. -- Hans Moravec