Anurag.Acharya@CENTRO.SOAR.CS.CMU.EDU (05/05/88)
Time: Thursday, May 5, 3:30-4:30. Place: 4605 WeH FUZZY INFERENCE, ITS APPLICATION TO ROBOT CONTROL, AND FUZZY MICROPROCESSOR Kaoru Hirota, Hosei University, and Takeshi Yamakawa, Kumamoto University Fuzzy inference (or approximate reasoning) is an important theoretical tool in real industrial applications of fuzzy theory; e.g. automatic control of subway trains, automatic speed control of cars, water purification system, ... When we use fuszzy inference, a knowledge base consists of a small number of fuzzy production rules. In this short lecture, foundations of fuzzy inference technqiues are introduced first, then followed by the outline of robot control applications. Also presented is a micro processor in linear mode (not in binary digital mode) on a semi-conductor chip for real time processing of fuzzy informations. Contact : Takeo.Kanade@IUS3.IUS.CS.CMU.EDU -------