DBGRIP - A LEARNING EXPERT SYSTEM FOR DETAILED SELECTION OF ROBOT GRIPPERS

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Atıf İçin Kopyala

PHAM D., TACGIN E.

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, cilt.29, sa.8, ss.1549-1563, 1991 (SCI-Expanded)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 29 Sayı: 8
• Basım Tarihi: 1991
• Doi Numarası: 10.1080/00207549108948031
• Dergi Adı: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Sayfa Sayıları: ss.1549-1563
• Marmara Üniversitesi Adresli: Hayır

Özet

A practical expert system for selecting commercially available robot grippers is presented. The system is implemented using a powerful hybrid expert system development tool coupled with a database management program. The knowledge base employed by the expert system in the selection processes is outlined. Details of the main features of the system are given, including its ability to learn by positive reinforcement of past experience.