A knowledge-based system for the conceptual design of grippers for handling fabrics

The paper presents a knowledge-based system (KBS) for the conceptual design of grippers for handling fabrics. Its main purpose is the integration of the domain knowledge in a single system for the systematic design of this type of grippers. The knowledge presented, in terms of gripper, material and...

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Bibliographic Details
Published in:AI EDAM 1999-01, Vol.13 (1), p.13-25
Main Authors: MOULIANITIS, V.C., DENTSORAS, A.J., ASPRAGATHOS, N.A.
Format: Article
Language:English
Subjects:
Applied sciences
Computer aided design
Computer science
control theory
systems
Design
Exact sciences and technology
Fabrics
Knowledge-based Systems
Material handling, hoisting. Storage. Packaging
Software
Transfert equipment, manipulators
industrial robots
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Summary:The paper presents a knowledge-based system (KBS) for the conceptual design of grippers for handling fabrics. Its main purpose is the integration of the domain knowledge in a single system for the systematic design of this type of grippers. The knowledge presented, in terms of gripper, material and handling process, are classified. The reasoning strategy is based upon a combination of a depth-first search method and a heuristic method. The heuristic search method finds a final solution from a given set of feasible solutions and can synthesize new solutions to accomplish the required specifications. Details of the main features of the system are given, including its ability to take critical design decisions according to four criteria, weighted by the designer. The knowledge-based system was implemented in the Kappa P. C. 2.3.2 environment. Two examples are given to illustrate some critical aspects concerning the KBS development, to explain the operation of the proposed searching heuristic method, and to show its effectiveness in producing design concepts for grippers.
ISSN:0890-0604
1469-1760
DOI:10.1017/S0890060499131020