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IEEE International Conference on robotics and Automation (ICRA)

作者： Jianwei Zhang A. Herp Inst. for Real-Time Computer Systems and Robotics Karlsruhe Univ. Germany Institute for Real-Time Computer Systems and Robotics Department of Computer Science University of Karlsruhe Karlsruhe Germany

In this paper, an approach is presented for designing a robot controller to integrate path planning and motion execution. Instead of following an exactly planned geometric path, which cannot be easily modified to deal with uncertainties, a robot realizes its motion under the guidance of a sequence of grossly selected crucial points called subgoals. A fuzzy model is used for on-line controlling the robot to pass through the subgoals smoothly. With the help of heuristics for optimal motion control, the rule base can be developed. Such a concept provides a control method in real time as well as a possibility of integrating sensor data for the subgoal-guided motion.< >

关键词： Fuzzy control Optimal control Motion control Path planning Orbital robotics Robot sensing systems Motion planning Collision avoidance Solid modeling Control systems

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Aspects of controlling a multifingered gripper

Aspects of controlling a multifingered gripper

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International Conference on Knowledge-Based Intelligent Electronic systems (KES)

作者： T. Doersam T. Fischer Department of Computer Science Institute for Real-Time Computer Systems and Robotics University of Karlsruhe Karlsruhe Germany

Controlling multifingered robot hands makes high demands on the control algorithms and the speed of the control computer. The nonlinear friction, the impact problem and other plant uncertainties require a special kind of control and tuning of the controller. Some simple linear and nonlinear controllers for the Karlsruhe Dexterous Hand are presented and the results and advantages of the controllers are shown. Also, a new adaptive fuzzy controller is presented to overcome the time consuming process of fine-tuning the membership functions. Finally, a short glance at the hardware platform is taken in order to show the control system architecture.

关键词： Grippers Friction Control systems Force control Fuzzy control Force measurement computer science real time systems Robot control Programmable control

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Decentralized control of distributed intelligent robots and subsystems

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Annual Review in Automatic Programming 1994年第C期19卷 281-286页

作者： Laengle, Th Lueth, T.C University of Karlsruhe Faculty for Informatics Institute for Real-Time Computer Systems and Robotics 76128 Karlsruhe Prof. Dr.-Ing. U Rembold Prof. Dr.- Ing. R. Dillmann Germany

In a distributed robot system, asynchronous and synchronous communication between the system components is necessary to guarantee problem soliving capability in realtime. On that account, the distributed control architecure of the Karlsruhe Autonomous Mobile Robot KAMRO which is being developed at IPR has been extended by these communication kinds. The robot system consists of several subcomponents, like manipulators, two hand-eyecameras, one overhead camera and a mobile platform. To get better problem solving capability than the former centralized control architecture, these components are able to work together in teams (asynchronous communication) or special agents (synchronous communication). © 1995.

关键词： control theory Distributed control real-time computer systems robot control architecture robots

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Compensation of friction in mechanical drives for a three fingered robot gripper

Compensation of friction in mechanical drives for a three fi...

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Proceedings of IEEE/RSJ International Conference on Intelligent Robots and systems. IROS '96

作者： T. Doersam P. Duerrschmied Department for Computer Science Institute for Real-Time Computer Systems and Robotics University of Karlsruhe Karlsruhe Germany

Performing fine manipulations with multifingered robot hands makes high demands on the control algorithms and the speed of the control computer. Mainly nonlinear friction problems and plant uncertainties require intensive fine-tuning of a controller. This paper gives insight into the frictional behaviour of geared finger links. The behaviour has been approximated by a friction model. Considering the estimated system parameters two kinds of controllers are developed: a simple PD controller with switchable I-part and a PD-controller with a fuzzy friction compensation working in parallel. The results of both controllers are presented and compared in this paper.

关键词： Friction Control systems Robots High performance computing Uncertainty Fingers Parameter estimation PD control Fuzzy control Fuzzy systems

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Neural-fuzzy force control using a TAI-lorable parallel computer concept

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IFAC Proceedings Volumes 1994年第14期27卷 151-156页

作者： S. Fatikow B. Magnussen T. Doersam University of Karlsruhe Faculty for Informatics Institute for Real-Time Computer Systems and Robotics Kaiserstr. 12 76128 Karlsruhe Germany

In this paper a new control system for the intelligent force control of multifingered robot grips is presented. The multi-level system architecture combines both fuzzy-based and a neural-based control algorithms. After defining the fine manipulation problem fuzzy and neural controller are developed. The demands of flexibility and real-time control of the implementation of the control system are suited by a tailorable parallel computer concept. The basic ideas of the concept are to set up each processing element and the communication individually for its application

关键词： Force control fuzzy control neural nets real time computer systems parallel processing

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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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The Karlsruhe Hand

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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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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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