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

Authors:
V. C. Moulianitis;A. J. Dentsoras;N. A. Aspragathos
Affiliations:
University of Patras, Mechanical Engineering and Aeronautics Department, 26500 Patras, Greece;University of Patras, Mechanical Engineering and Aeronautics Department, 26500 Patras, Greece;University of Patras, Mechanical Engineering and Aeronautics Department, 26500 Patras, Greece
Venue:
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Year:
1999

Citing 4
Cited 3

Artificial intelligence in engineering

Artificial intelligence in engineering
Robot grippers for use with fibrous materials

International Journal of Robotics Research
Engineering design: a synthesis of views

Engineering design: a synthesis of views
The Design and Analysis of Computer Algorithms

The Design and Analysis of Computer Algorithms

A method for the automatic deduction of priority lists of entities and tasks from the design knowledge

Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Racing car design using knowledge aided engineering

Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Fuzzy Representation and Synthesis of Concepts in Engineering Design

SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.