Type Selection of Robot and Gripper Kinematic Topology Using Expert Systems

Erdman, Arthur G.; Thompson, Travis; Riley, D. R.

doi:10.1177/027836498600500217

Cited by 19 publications

(12 citation statements)

References 4 publications

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“…In some applications (Erdman 1986;Soni 1988;Hoeltzel 1990), expert systems have been adopted to establish a structure-to-function mapping with a certain success, while more is expected from further developments in artificial intelligence techniques. As far as bevel gear wrist mechanisms are concerned, the algorithm proposed herein for drawing functional representations corresponding to a given graph can be regarded as the first preliminary phase of a more general inverse procedure for selecting the topology that best suits a given industrial application.…”

Section: Developing Of An Atlas Of Functional Representationsmentioning

confidence: 99%

An Atlas of Remote Actuated Bevel Gear Wrist Mechanisms of up to Nine Links

Belfiore

1993

The International Journal of Robotics Research

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An atlas of topological and functional representations of bevel gear-type basic robotic wrists of up to nine links with all the actuators connected to the frame link is presented. Each wrist mechanism is depicted by means of a canonical diagram that can be adopted as a schematic model for the final constructive embodiment. The corresponding graphic representation is also shown, together with a reference number that classifies the structure through the concepts of nonfractionated degree of freedom and equivalent-open-loop chain.

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Section: Developing Of An Atlas Of Functional Representationsmentioning

confidence: 99%

An Atlas of Remote Actuated Bevel Gear Wrist Mechanisms of up to Nine Links

Belfiore

1993

The International Journal of Robotics Research

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“…As conceptual design of mechanical transmission system has an essential effect on product innovation, many researches have been focused on it in recent decades with many valuable fruits [1][2][3][4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

“…The former approaches [4][5][6] are based on that existing mechanisms are composed of a set of functional elements, with which new mechanisms that can deliver desired functions can be synthesized. The latter approaches [7][8][9] However, the current approaches always focus on the automated synthesis method of SISO systems, and would fail to yield feasible solutions to MIMO system.…”

Section: Introductionmentioning

confidence: 99%

Automated Conceptual Design of Multiple Input and Multiple Output Mechanical Transmission System

Feng

Liu

et al. 2010

2010 Second International Conference on Computer Engineering and Applications

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Conceptual design of mechanical transmission system is an early stage in the product design process, which has an essential effect on product innovation. This paper is devoted to presenting a systematic approach to automated conceptual design of multiple input and multiple output mechanical transmission system, based on the functional decomposition strategy. The transmission functional representations, and the integration of motional function matrix with mechanical transmission knowledge base, are proposed. After the method of single input and single output system is proposed, multiple input and single output system, and single input and multiple output system are simplified into single input and single output system. Then the multiple input and multiple output can be also solved by functional decomposition strategy. The mechanical transmission system of a robot is given as an example, which demonstrates that the methodology is obviously helpful for product innovation.

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“…In recent years, application of artificial intelligence concepts and techniques in engineering design has been recognized and explored. Several research projects (Erdman et al, 1986;Kota et al, 1987a, b;Hoeltzel et al, 1987;Tang and Roll, 1988;Yang et al, 1988a-c;Rehg et al, 1988) have shown tremendous advantages of artificial intelligence techniques over traditional manual and conventional computer approaches. Among the applications in the field of engineering design, the technology of knowledge-based systems is most promising and successful so far.…”

Section: Introductionmentioning

confidence: 99%

A knowledge engineer based on natural language understanding for an expert system: DOMES

Yang¹,

Datseris²

1991

AIEDAM

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Link to this article: http://journals.cambridge.org/abstract_S0890060400002596How to cite this article: B. Yang and P. Datseris (1991). A knowledge engineer based on natural language understanding for an expert system: DOMES.In order to enhance the knowledge acquisition capability of the expert system DOMES (Design Of Mechanisms by an Expert System), which is developed at the University of Rhode Island for creative type synthesis of mechanisms, methodologies have been developed to build a knowledge engineer module based on natural language understanding. Specifically, artificial intelligence concepts and Lisp programming techniques have been incorporated in this module to implement the following: (1) analysing and understanding design criteria supplied by human designers in the form of English sentences; and (2) transforming these design criteria into Lisp code and storing them in the knowledge base of DOMES. This knowledge engineer module enhances the capability and improves the performance of the expert system DOMES by providing an effective means for knowledge acquisition based on natural language understanding. The concepts and implementation techniques in developing this module are general and can also be utilized for other knowledge-based systems.

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Type Selection of Robot and Gripper Kinematic Topology Using Expert Systems

Cited by 19 publications

References 4 publications

An Atlas of Remote Actuated Bevel Gear Wrist Mechanisms of up to Nine Links

An Atlas of Remote Actuated Bevel Gear Wrist Mechanisms of up to Nine Links

Automated Conceptual Design of Multiple Input and Multiple Output Mechanical Transmission System

A knowledge engineer based on natural language understanding for an expert system: DOMES

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