The development of an advanced planning environment is described, which is especially tailored for the programming and simulating of complex assembly operations with multifinger robot hands. A new geometric-mechanic a...
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The development of an advanced planning environment is described, which is especially tailored for the programming and simulating of complex assembly operations with multifinger robot hands. A new geometric-mechanic approach to the problem of planning grasp parameters for multifinger hands is presented, which considers the constraints of pick-and-place operations in manipulation and insertion tasks. The planning method is subdivided into two successive steps for (1) grasp point planning assertion object reachability and task feasibility, and (2) grasp force planning asserting object stability and grip security. The planning process is connected via a task concept and assembly specific language with the command executer of the planning system which controls both the motion emulation and force simulation.< >
A new product model that is particularly useful for model-based assembly planning is presented in this paper. The majority of the models used in this domain are simple approximations of the real workpiece and they are...
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A new product model that is particularly useful for model-based assembly planning is presented in this paper. The majority of the models used in this domain are simple approximations of the real workpiece and they are often dedicated to special algorithms. The model described here provides a more accurate and more flexible representation of workpieces. An increase in accuracy of the shape description was achieved by enhancing a polyhedral model with an analytical representation. The application of the model is demonstrated within the framework of assembly sequence planning.
Presents a neuro-fuzzy control approach for intelligent microrobots. Typical tasks of such industrial or medical robots are both exploration and fine manipulation, what demands task planning and motion/force control c...
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Presents a neuro-fuzzy control approach for intelligent microrobots. Typical tasks of such industrial or medical robots are both exploration and fine manipulation, what demands task planning and motion/force control capabilities. For this kind of microsystems the authors investigate the system technical aspects of information processing. The concept for the control system architecture is based on the combination of a neural network approach for the adaptation of process parameters and a fuzzy logic approach for the correction of parameter values given to a conventional controller. A planning component deals with the determination of initial manipulation parameters. Together with a sensor fusion procedure and a supervising and reasoning subsystem this allows reliable operation of a microrobot.< >
In this paper the control architecture of the mobile robot system PRIAMOS is presented. It consists of four layers which integrate reactive and reflexive components in such a way that the robot can combine fast reacti...
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In this paper the control architecture of the mobile robot system PRIAMOS is presented. It consists of four layers which integrate reactive and reflexive components in such a way that the robot can combine fast reaction to unexpected obstacles with predictive behaviour to known components in the environnement. A solution for the problem bow to combine control layers which process information on different levels of abstraction and of increasing complexity is discussed. The reflexive part of the control architecture and the modification concerning the motion controller of the mobile robot which was necessary to apply the idea of reflexive navigation is described in more details. The architecture presented allows to execute motion tasks in partially unknown or changing environment in an efficient manner. Especially the time critical reflexive level is computationally less expensive than previous approaches
A new concept for navigation of mobile robots based on the planary coded environment (PLACER) is presented, which enables the coordination of several mobile robots in a real manufacturing environment. It is a path ind...
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A new concept for navigation of mobile robots based on the planary coded environment (PLACER) is presented, which enables the coordination of several mobile robots in a real manufacturing environment. It is a path independent external navigation system with passive environment structuring over the entire movement area of the robots. This area is completely covered with tiles, each containing the coordinates of its centre point inscribed using an error correcting code
A method for planning motions of robot arms is presented which considers not only the collision-avoidance but also robot's dynamic aspects. Based on the concept of configuration space, robot motions are planned at...
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The purpose of this paper is to present a method of extracting assembly directions for workpieces in an assembly set and to represent all these directions in an adequate manner. Local assembly directions are automatic...
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The purpose of this paper is to present a method of extracting assembly directions for workpieces in an assembly set and to represent all these directions in an adequate manner. Local assembly directions are automatically derived from a CAD model of the assembly set and modeled as so-called direction figures. These direction figures can be uniquely represented by spherical polygons, the analog of planar polygons on the sphere. As it will be shown, it is possible to apply proven “planar” algorithms to spherical polygons. The algorithms presented in this paper solve, e.g. the problem of determining the intersection of two spherical polygons, the point-in-polygon test and the calculation of the centre of a polygon. Since the representation of assembly (or machining) directions is required by various manufacturing planning algorithms, a good solution to this problem is of considerable importance in the area of intelligent manufacturing systems.
An approach for planning robot workcells fully automatically in three dimensions is presented. The automation is possible by carrying out the entire layout planning process in the configuration space. To obtain a good...
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An approach for planning robot workcells fully automatically in three dimensions is presented. The automation is possible by carrying out the entire layout planning process in the configuration space. To obtain a good shop floor layout in a short time, the Cartesian configuration space and fast obstacle transformation routines are used. An optimization algorithm minimizes the length of all collision-free paths required for the performance of the workcell task. A final test of the generated workcell layout, whether it is valid or not, via graphical workcell task simulations is not required. This planning approach enhances the conventional layout planning process and reduces the necessity of user interaction.< >
The authors present the automatic system configurator (ASC), a software environment for the design of automated workcells. ASC consists of a number of tools which provide support at various stages of the planning of c...
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The authors present the automatic system configurator (ASC), a software environment for the design of automated workcells. ASC consists of a number of tools which provide support at various stages of the planning of complex machine tools and workcells. It contains three tools for configuration and one layout planning tool. The tools can be used and stand-alone basis or in an integrated fashion via an information management system. Each ASC tool is a contribution to CIM in its own right. The configuration tools are knowledge based and stress in particular the knowledge acquisition aspects. The layout planning can be fully automatic, taking into account kinematic aspects for the layout planning of robots cells.< >
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