7,196 research outputs found

    NASA space station automation: AI-based technology review

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    Research and Development projects in automation for the Space Station are discussed. Artificial Intelligence (AI) based automation technologies are planned to enhance crew safety through reduced need for EVA, increase crew productivity through the reduction of routine operations, increase space station autonomy, and augment space station capability through the use of teleoperation and robotics. AI technology will also be developed for the servicing of satellites at the Space Station, system monitoring and diagnosis, space manufacturing, and the assembly of large space structures

    Second CLIPS Conference Proceedings, volume 1

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    Topics covered at the 2nd CLIPS Conference held at the Johnson Space Center, September 23-25, 1991 are given. Topics include rule groupings, fault detection using expert systems, decision making using expert systems, knowledge representation, computer aided design and debugging expert systems

    A knowledge-based system approach to helping engineers understand codes of practice

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    Civil engineers are increasingly called upon to design according to codes of practice which are foreign, or otherwise unfamiliar to the engineer. Some form of 'tool' to aid such engineers in the safe and effective use of unfamiliar codes, is therefore highly desirable. The argument presented in this thesis, is that a specialised 'knowledge-based system' (KBS) can be successfully constructed in order to provide various sons of insights into the design methods used in certain codes of practice. Three key ideas were used in the implementation produced during the research: the development of a novel set of complementary 'facilities' for examining the design methods used in codes; the support of comparison between the examination of two different codes; and ensuring the system's representation of codes and their examination, could be made readily comprehensible to engineers by using familiar human language phrases. Seven different facilities were developed in the research, including: the ability to view the codes installed in the system in a form close to a human language (such as English or French); the ability to perform parts of a code-based design procedure to various levels of detail; and the ability to inspect the interdependences of design parameters within codes. Use of these symbolic and numerical methods could provide the engineer with the information required to understand how and why an unfamiliar code would specify surprising, or otherwise unusual design parameters in some particular situation. They could also be used in a more exploratory fashion, with t1ie same broad aim of greater understanding of an unfamiliar code. A KBS is a sophisticated computer program that uses the idea of processiilg knowledge information. A characteristic feature of KBSs is that one of their primary components is a 'knowledge base' - a store of human expertise. The KBS built in this research, 'COPES' used an existing abbreviated form of the reinforced concrete (RC) beam design codes as its knowledge base. In particular, it contained 'procedural knowledge'. COPES was implemented using conventional computer systems and progranuning languages (pascal and FORTRAN on a Sun workstation). This is in contrast to most contemporary KBSs, which are often built using a 'shell', or an unconventional declarative programming language such as Prolog. One reason for this choice was that COPES used parts of previous computing work done with RC beam design codes, that had also used conventional computing techniques. However, our research did cover an investigation into the prospects for an alternative approach using a modem expert system shell. (It was confirmed that such an approach was generally less suitable in this particular application.) The COPES system proved to be a useful prototype 'toolbox' of various procedural knowledge extraction operations, which could help an engineer's understanding of an unfamiliar code of practice. To provide a practical system, the various explanatory methods developed could potentially be incorporated into an overall CAD (Computer-Aided Design) environment, or alternatively, wrapped up in a more sophisticated interactive program

    Factors shaping the evolution of electronic documentation systems

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    The main goal is to prepare the space station technical and managerial structure for likely changes in the creation, capture, transfer, and utilization of knowledge. By anticipating advances, the design of Space Station Project (SSP) information systems can be tailored to facilitate a progression of increasingly sophisticated strategies as the space station evolves. Future generations of advanced information systems will use increases in power to deliver environmentally meaningful, contextually targeted, interconnected data (knowledge). The concept of a Knowledge Base Management System is emerging when the problem is focused on how information systems can perform such a conversion of raw data. Such a system would include traditional management functions for large space databases. Added artificial intelligence features might encompass co-existing knowledge representation schemes; effective control structures for deductive, plausible, and inductive reasoning; means for knowledge acquisition, refinement, and validation; explanation facilities; and dynamic human intervention. The major areas covered include: alternative knowledge representation approaches; advanced user interface capabilities; computer-supported cooperative work; the evolution of information system hardware; standardization, compatibility, and connectivity; and organizational impacts of information intensive environments

    Computer aided design

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    technical reportThe report is based on the proposal submitted to the National Science Foundation in September 1981, as part of the Coordinated Experimental Computer Science Research Program. The sections covering the budget and biographical data on the senior research personnel have not been included. Also, the section describing the department facilities at the time of the proposal submission is not included, because it would be only of historical interest

    A framework for flexible and reconfigurable vision inspection systems

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    Reconfiguration activities remain a significant challenge for automated Vision Inspection Systems (VIS), which are characterized by hardware rigidity and time-consuming software programming tasks. This work contributes to overcoming the current gap in VIS reconfigurability by proposing a novel framework based on the design of Flexible Vision Inspection Systems (FVIS), enabling a Reconfiguration Support System (RSS). FVIS is achieved using reprogrammable hardware components that allow for easy setup based on software commands. The RSS facilitates offline software programming by extracting parameters from real images, Computer-Aided Design (CAD) data, and rendered images using Automatic Feature Recognition (AFR). The RSS offers a user-friendly interface that guides non-expert users through the reconfiguration process for new part types, eliminating the need for low-level coding. The proposed framework has been practically validated during a 4-year collaboration with a global leading automotive half shaft manufacturer. A fully automated FVIS and the related RSS have been designed following the proposed framework and are currently implemented in 7 plants of GKN global automotive supplier, checking 60 defect types on thousands of parts per day, covering more than 200 individual part types and 12 part families
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