This work outlines an interactive approach to reconstruction of solid models from range images. It is to be integrated into a telerobotic system in order to dynamically create a coarse geometric world model suitable t...
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An approach to analyzing ambiguous contact situations in an uncertain robotic environment is presented. When invoked by the occurrence of a contact, the analysis proceeds by generating a set of hypotheses on the conta...
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An approach to analyzing ambiguous contact situations in an uncertain robotic environment is presented. When invoked by the occurrence of a contact, the analysis proceeds by generating a set of hypotheses on the contact, out of which the valid one is detected by testing the feasibility of certain motions, i.e., performing movability tests. Emphasis is placed on the generation of the hypotheses. All parts of the analysis are based upon the same probabilistic uncertainty model, which is given.< >
A fuzzy control approach is proposed for controlling a mobile robot by effectively using the static knowledge of a partially-known environment and the dynamic sensor data. To describe the global structure of the stati...
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A fuzzy control approach is proposed for controlling a mobile robot by effectively using the static knowledge of a partially-known environment and the dynamic sensor data. To describe the global structure of the static environment, a tangent-graph is first constructed and a sequence of subgoals is generated for guiding the global path direction. During the execution of these subgoals, a motion executor using the concept of fuzzy control evaluates the sensor data and the robot current status, and adjusts the moving speed and direction of the robot.< >
The authors present an advanced control concept for microrobotic systems, which is based on the combination of a neural network approach for the adaptation of manipulation parameters and a fuzzy logic approach for the...
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The authors present an advanced control concept for microrobotic systems, which is based on the combination of a neural network approach for the adaptation of manipulation parameters and a fuzzy logic approach for the correction of parameter values given to a conventional controller. This multilevel system architecture is suitable for the intelligent control of microrobots that can operate autonomously in changing environments. Typical tasks for these robots are exploration and fine manipulation, which demand intelligent task planning and motion/force control capabilities. The planning component deals with the successive determination of initial manipulation parameters, whereas the neural system performs during manipulation, computing suboptimal grasp forces and learning inference rules used for parameter adjustment.
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.
The increasing use of computer based control systems in complex applications requires models and methods for specification and verification of both the temporal and functional behaviour. One promising approach is to u...
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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 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.< >
Due to the growing complexity and size of software systems, the development of correct and easy to maintain software has become more and more of a problem. This is especially true for distributed systems with real-tim...
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Due to the growing complexity and size of software systems, the development of correct and easy to maintain software has become more and more of a problem. This is especially true for distributed systems with real-time requirements. Therefore, great efforts have been made to overcome this problem. However, most approaches either do not consider every aspect of interest or are restricted to only one development phase. This paper describes OASIS, an open environment, that allows the integration of different analysis techniques in different system development phases, and presents the existing OASISI-toolset, that is already incorporated in this architecture.
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
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