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IFAC Proceedings Volumes 1988年第16期21卷 383-388页

作者： T.J. Doll H.-J. Schneebeli Institute for Real-Time Computer Control and Robotics Faculty for Informatics University of Karlsruhe 7500 Karlsruhe FRG

The Karlsruhe Hand is a non-anthropomorphic three finger dextrous gripper with 9 degrees of freedom, which is being developed at the institute for real-time computer Control systems and robotics of the University of K... 详细信息

关键词： Robots artificial limbs multivariable control systems dextrous hands grippers

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An automated microrobot-based desktop station for micro assembly and handling of micro-objects

An automated microrobot-based desktop station for micro asse...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： S. Fatikow U. Rembold Institute for Real-Time Computer Systems and Robotics Faculty for Informatics University of Karlsruhe Karlsruhe Germany

One of the main problems of present-day microsystem technology (MST) is the assembly of a whole microsystem from different micro-components. This paper presents an automated micromanipulation desktop station the main feature of which are piezoelectrically driven microrobots placed on a highly precise x-y table of a microscope. The microrobots can perform high-precise manipulations (with an accuracy of up to 10 nm) and the transport of very small objects (at a speed of several mm/sec). To control the desktop station automatically, a sensor system is provided for fine and for gross positioning of the robots, respectively. Apart from assembly tasks this automated station can be used, for examples, for handling biological cells or testing silicon chips.

关键词： Microscopy Automatic control Control systems Sensor systems Robot sensing systems robotics and automation Robotic assembly Biological cells Automatic testing Silicon

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A simulation-based grasp planning system for multifinger robot hands

A simulation-based grasp planning system for multifinger rob...

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IEEE International Symposium on Intelligent Control (ISIC)

作者： G. Wohlke Institute for Real-Time Computer Systems and Robotics Faculty for Informatics University of Karlsruhe Karlsruhe Germany

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.< >

关键词： Robotic assembly Process planning Robot programming Motion planning Stability Security Assembly systems Control system synthesis Force control Motion control

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A neuro-fuzzy control approach for intelligent microrobots

A neuro-fuzzy control approach for intelligent microrobots

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IEEE International Conference on systems, Man and Cybernetics

作者： S. Fatikow G. Wohlke Institute for Real-Time Computer Systems and Robotics Faculty for Informatics University of Karlsruhe Karlsruhe Germany

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.< >

关键词： Intelligent control Medical control systems Intelligent robots Control systems Electrical equipment industry Industrial control Medical robotics Motion planning Force control Information processing

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Intelligent robot hand control system using a tailorable parallel computer concept

Intelligent robot hand control system using a tailorable par...

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IEEE International Workshop on Intelligent Robots and systems (IROS)

作者： S. Fatikow B. Magnussen Th. Dorsam Institute for Real Time Computer Systems and Robotics Faculty for Informatics University of Karlsruhe Karlsruhe Germany

Presents a control system for the intelligent force control of multifingered robot grips. The multilevel system architecture combines both a fuzzy-based adaptation level and a neural-based one with a conventional PID-controller that allows autonomous performance of fine manipulations of an object. Two kinds of fuzzy controllers are presented. They use a decision making logic which expresses the a priori knowledge about the grasp force behaviour inside the friction cones and the necessary reactions regarding the criterion for grip stability. A neural controller, based on a Hooke-Jeeves optimisation approach, has been developed as well. The neural control algorithm is implemented by a three-layered backpropagation neural network. The neural and fuzzy controllers can be used separately or in parallel. In the last case the neural controller can be on-line trained using the input-output information from the fuzzy one. A computer based simulation system for the peg-in-hole insertion task is developed to analyse and to compare the capabilities of both control algorithms. The demands of flexibility and real-time control of the implementation of the control system are suited by a tailorable parallel computer concept. The two basic ideas of the concept are to set up each processing element individually for its application and connect these elements with different communicational methods according to the applicational demands. As this happens before runtime the concept is called static flexibility and is implemented using a new mechanical computer structure.< >

关键词： Intelligent robots Robot control Control systems Fuzzy control Communication system control Force control Intelligent systems Intelligent control Multilevel systems Decision making

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The Karlsruhe dextrous hand: grasp planning, programming and real-time control

The Karlsruhe dextrous hand: grasp planning, programming and...

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IEEE International Workshop on Intelligent Robots and systems (IROS)

作者： G. Wohlke Institute for Real-Time Computer Control Systems and Robotics Faculty for Informatics University of Karlsruhe Karlsruhe Germany

In this paper the framework of an intelligent control system of a multi-finger robot hand is described, that is especially tailored for sensor-based object handling and assembly. The research has concerned with the Karlsruhe dextrous hand, a modular three-finger hand with 9 degrees of freedom, independent finger modules and integrated sensors. The total system structure consists of three embedded subsystems, with a planning and supervisory system on the top, which has a blackboard-like architecture to exchange information with a distributed real-time control system that provides force/position control strategies for dextrous grasping and manipulating of arbitrary objects. A programming and simulation system supports the object/task-based description of all robot and gripper actions required to perform a specific operation.< >

关键词： Robot programming Robotic assembly Force control Intelligent control Robot sensing systems Intelligent robots Assembly systems Fingers Intelligent sensors Strategic planning

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Fuzzy-based grasp-force-adaptation for multifingered robot hands

Fuzzy-based grasp-force-adaptation for multifingered robot h...

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： T. Dorsam S. Fatikow I. Streit Institute for Real-Time Computer Systems awl Robotics Faculty for Informatics University of Karlsruhe Karlsruhe Germany

A fuzzy logic approach for the online grasp-force-adaptation, which can be used for the control of fine manipulating with a multifingered robot hand, will be presented in this paper. The kernel of this approach consists of decision making logic which expresses the a-priory knowledge about the force behaviour inside the friction cones and the necessary reactions, regarding the criterion for grip stability. For the software realisation of the fuzzy control approach a Fuzzy-C Development System supporting the entire development process was used. Two corresponding fuzzy controllers have been designed: A finger controller and a grasp controller. During fine manipulations of an object the fuzzy controller interacts with an underlying conventional controller that receives, after defuzzyfication, the adapted force values which were applied. A computer based simulation system was developed to analyse the capabilities of the designed fuzzy controllers.< >

关键词： Robots Fuzzy control Force control Fuzzy logic Kernel Decision making Friction Stability criteria Fingers Computational modeling

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Object manipulation with dextrous multi-finger hands: improved computation method

Object manipulation with dextrous multi-finger hands: improv...

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IEEE International Workshop on Intelligent Robots and systems (IROS)

作者： G. Wohlke Institute for Real-Time Computer Control Systems and Robotics Faculty for Informatics University of Karlsruhe Karlsruhe Germany

This paper deals with the two fundamental problems that occur when objects are manipulated with multi-finger robot hands: the determination of the joint motions to perform a manipulation according to a given object trajectory, and the optimization of the joint torques needed to ensure a stable and secure grip. The consideration of the effect of rolling and slipping of the fingertips at the contact points on the object surface leads to a set of linear differential equations for the joint angles and to a partly nonlinear optimization problem for the joint torques solved by the Hooke-Jeeves algorithm. The removal of redundant information reduces the computational effort to about 40% of the operations required for the standard procedure. Especially, the resulting object motions are demonstrated at an example: the rotation of an ellipsoid object with the fingers of the Karlsruhe dextrous hand.< >

关键词： Robots real time systems Equations Motion control Control systems Fingers Grippers Automatic control Flowcharts Torque control

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Requirements analysis for real-time automation projects

Requirements analysis for real-time automation projects

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International Conference on Software Engineering (ICSE)

作者： M. Hagemann Faculty for Informatics Institute of Real-Time Computer Control Systems and Robotics University of Karlsruhe Karlsruhe Germany

ISBN: (纸本)0897912586

A formal language for specifying and analyzing requirements is introduced. An integrated set of tools support the transition from ideas to a requirements specification. The system is implemented on an IBM PC. The special characteristics of the language and the tools are their suitability for the description of embedded real-time systems. The most useful feature of the system is the possibility of graphical input and output as an alternative of the mere textual specification. Transformation between textual and graphical representation is done by the PROREC system.< >

关键词： Control systems Automatic control robotics and automation Process control informatics real time systems Robot control Specification languages Formal specifications Software engineering

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Model-based diagnosis of complex systems: Structuring and temporal reasoning

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IFAC Proceedings Volumes 1991年第10期24卷 41-45页

作者： T. Hübner Institute for Real Time Computer Systems and Robotics Faculty of Computer Science University of Karlsruhe Karlsruhe Germany

Model-based diagnosis of industrial applications (i.e., complex systems) has to face a lot of problems inherent in complexity. Most applications involve thousands of components and are dynamic. The approach outlined in this paper is based on semantic nets representing causal and temporal knowledge to be used for fault diagnosis. A view and a hierarchy-concept serve for structured modelling and focused diagnosis. An efficient diagnostic inference mechanism is based on a pre-computation phase, where diagnostic knowledge is restructured to grant efficient access operations during a diagnostic session phase.

关键词： Failure detection artificial intelligence expert systems modeling causal reasoning temporal reasoning structuring model-based

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