The Computer Integrated Manufacturing (CIM) system is the key for integrated flexible automation in the modern factory. Communication networks play an important role in these systems. To realize CIM, the standardizati...
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The Computer Integrated Manufacturing (CIM) system is the key for integrated flexible automation in the modern factory. Communication networks play an important role in these systems. To realize CIM, the standardization of Local Area Networks (LANs) within the factory is strongly required, and MAP, Manufacturing automation Protocol, is expected to become the international standard. The introduction of CIM has begun in some leading companies in Japan and the United States. In this paper, examples of our company's factory automation and corporate information network systems are presented. A discussion on the future perspectives of network communications and artificial intelligence technologies is given.
A geometric engine called ROBMOD is described that has been designed specifically for intelligent robotics applications. ROBMOD is usable both as a geometric modelling system, based on the constructive solid geometry ...
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A geometric engine called ROBMOD is described that has been designed specifically for intelligent robotics applications. ROBMOD is usable both as a geometric modelling system, based on the constructive solid geometry paradigm, and as a geometry engine that can be interrogated by programs that are reasoning about space. ROBMOD is thus able to reduce the geometric sophistication required in such spatial reasoning programs.< >
The vision-guided robotic irregular parcels and pieces singulation (generalized bin-picking) and address block location technologies are described. The technological requirements and limitations are examined and discu...
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The vision-guided robotic irregular parcels and pieces singulation (generalized bin-picking) and address block location technologies are described. The technological requirements and limitations are examined and discussed. Other mail singulation technologies for letters and flats that use vision-guided intelligent robots and computer-controlled intelligent mechanisms are reviewed.< >
An overview is given of the experimental analysis of motion planning from comparison of two snapshots of the world: initial scene and goal scene. It is commonly believed that from comparison of these two images the re...
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An overview is given of the experimental analysis of motion planning from comparison of two snapshots of the world: initial scene and goal scene. It is commonly believed that from comparison of these two images the researcher can deduce the plan of actions and, eventually, the program of motion (e.g. in robotics). Indeed, in many particular cases the existence of a knowledge inverse operator can be proven. If so, the process of plan generation can be done automatically. The feasibility of solving the problem of automatic plan generation is considered. These questions are addressed by considering several man-chair situations. An effort is made to analyze this process experimentally and to trace the whole set of required computational procedures, as well as the required structure of knowledge representation. It is concluded that difference generation requires a substantial amount of knowledge which is not represented explicitly within the interpreted image description. Supervised learning is one of the possible ways for filling the lists of primitive rules and metarules. However, using redundant thesaural descriptions seems to be more promising.< >
Global geometric algorithms for trajectory planning are used in conjunction with a local avoidance strategy. Simulations have been developed for a mobile robot in the plane among stationary and moving obstacles. Essen...
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Global geometric algorithms for trajectory planning are used in conjunction with a local avoidance strategy. Simulations have been developed for a mobile robot in the plane among stationary and moving obstacles. Essentially, the robot has a geometric planner that provides a coarse trajectory (the path and the velocity along it), which may be modified by a (low-level) local avoidance module if sensors detect obstacles in the vicinity of the robot. This hierarchy makes effective use of the complementarity between global trajectory planning and local obstacle avoidance.< >
It is noted that enhanced sensing capabilities in advanced systems of automation place an increasing computational burden on the control system architecture. Sensory processing for intelligent systems will take a vari...
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It is noted that enhanced sensing capabilities in advanced systems of automation place an increasing computational burden on the control system architecture. Sensory processing for intelligent systems will take a variety of forms, ranging from simple preprocessing of sensory input values to sophisticated fusion and decision analysis algorithms. Sensory preprocessing, particularly when based upon state estimation methods, can take maximal advantage of a variety of parallel array processing techniques, while more advanced forms of decision analysis based upon sensory data can use special-purpose hardware units to optimize the largely serial throughput of these algorithms. A multifunctional sensory processing (MFSP) architecture is proposed for meeting some of these diverse requirements. The elements and applications of the MFSP architecture are discussed.< >
The design of the organization level of the intelligent machine as a Boltzmann machine, as described in current neural network literature, is discussed. Since this level is responsible for planning the actions of the ...
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The design of the organization level of the intelligent machine as a Boltzmann machine, as described in current neural network literature, is discussed. Since this level is responsible for planning the actions of the machine, the problem at this tier is formulated as the construction of the right sequence of tasks or events which minimizes the entropy for the desired action. Two search techniques, simulated annealing (SA) and expanding subinterval random search (ESRS), are described. These techniques are used to find the global minimum entropy of a Boltzmann machine. Simulations using these search techniques were conducted using energy as a cost function, and results indicate that ESRS converges faster than SA to a global minimum if the topology contains narrow and deep cost wells.< >
An expert supervisor prototype for use in a crushing plant is expressed. The supervisor structure is based on a human operator model. Internally, it possesses qualitative information of the process, knowledge of the p...
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An expert supervisor prototype for use in a crushing plant is expressed. The supervisor structure is based on a human operator model. Internally, it possesses qualitative information of the process, knowledge of the process under control, and the heuristic strategies obtained from an experienced operator to achieve the proposed plant operation objectives. For communication with the external world, it possesses a process interface and a user interface to supervise the global operation from an upper level. The simulation results obtained show the advantages and potential of this type of expert supervisor for supporting automatic plant operation.< >
A class of point location problems found in visual navigation of a mobile robot is considered. The problem is to locate the robot using a map of the room in which it moves and an image taken by a camera that it carrie...
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A class of point location problems found in visual navigation of a mobile robot is considered. The problem is to locate the robot using a map of the room in which it moves and an image taken by a camera that it carries. Vertical edges are extracted from the image, and a possible location for the robot is searched for by establishing a correspondence between the edges in the images and vertical poles given in the map. This problem and some of its variations are considered from the computational geometry point of view, and efficient algorithms for solving them are given.
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