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IEEE International Workshop on Intelligent Robots and Systems (IROS)

作者： T. Hoeniger Department of Computer Science Institute for Process Control and Robotics University of Karlsruhe Karlsruhe Germany

An intelligent robot control scheme is presented which enables a cooperative work of humans and robots through direct contact interaction in a partially known environment. The control of the degrees of freedom of the manipulator is shared through a hybrid controller between the operator and the intelligent control system. The allocation of the control among human and robot occurs dynamically according to the state of the task execution and the capabilities of the human and the robot. Experiments were conducted to prove the effectiveness of our concept.

关键词： Intelligent robots Service robots Human robot interaction Medical robotics control systems Manipulators Intelligent control Robot sensing systems Cognitive robotics Uncertainty

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Sensor system for controlling a multifingered gripper on a robot arm

Sensor system for controlling a multifingered gripper on a r...

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Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190)

作者： Th. Fischer Department of Computer Science Institute for Process Control and Robotics University of Karlsruhe Karlsruhe Germany

In the last few years different multifingered grippers have been developed and a lot of research work has been done in the field of grasping and manipulating objects with such grippers. With the help of fingers it is possible to grasp different objects with different shapes without having to change the gripper. To use a multifingered gripper in industrial applications it has to be mounted on another robot to enhance the working space. In the paper the requirements of a multifingered gripper on a robot arm in a manipulation station are discussed, with particular attention given to one part of the sensor system: the object state sensor. This sensor provides the control system with information about the object to be grasped.

关键词： Sensor systems control systems Grippers Robot sensing systems Fingers Orbital robotics Service robots Shape Aerospace industry computer science

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6 DOF path planning in dynamic environments-a parallel online approach

6 DOF path planning in dynamic environments-a parallel onlin...

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IEEE International Conference on robotics and Automation (ICRA)

作者： D. Henrich C. Wurll H. Worn Institute for Process Control and Robotics (IPR) Computer Science Department University of karlsruhe Karlsruhe Germany

Presents an approach to parallel path planning for industrial robot arms with six degrees of freedom in an online given 3D environment. The method is based a best-first search algorithm and needs no essential off-line computations. The algorithm works in an implicitly discrete configuration space. Collisions are detected in the Cartesian workspace by hierarchical distance computation based on polyhedral models of the robot and the obstacles. By decomposing the 6D configuration space into hypercubes and cyclically mapping them onto multiple processing units, a good load distribution can be achieved. We have implemented the parallel path planner on a workstation cluster with 9 PCs and tested the planner for several benchmark environments. With optimal discretisation, the new approach usually shows very good speedups. In online provided environments with static obstacles, the parallel planning times are only a few seconds.

关键词： Path planning Orbital robotics Defense industry Service robots Parallel robots Manipulators Hypercubes Workstations Personal communication networks Testing

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On-line path planning by heuristic hierarchical search

On-line path planning by heuristic hierarchical search

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Annual Conference of Industrial Electronics Society

作者： D. Henrich C. Wurll H. Worn Institute for Process Control and Robotics (IPR) Computer Science Department University of Karlsruhe Karlsruhe Germany

In this paper, the problem of path planning for robot manipulators with six degrees of freedom in an on-line provided three-dimensional environment is investigated. As a basic approach, the best-first algorithm is used to search in the implicit discrete configuration space. Collisions are detected in the Cartesian workspace by hierarchical distance computation based on the given CAD model. The basic approach is extended by three simple mechanisms and results in a heuristic hierarchical search. This is done by adjusting the stepsize of the search to the distance between the robot and the obstacles. As a first step, we show encouraging experimental results with two degrees of freedom for five typical benchmark problems.

关键词： Path planning Service robots Orbital robotics Robotic assembly Computational geometry Motion planning Process control Intellectual property computer science Manipulators

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Online path planning with optimal C-space discretization

Online path planning with optimal C-space discretization

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Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190)

作者： D. Henrich C. Wurll H. Worn Institute for Process Control and Robotics (IPR) Computer Science Department University of Karlsruhe Karlsruhe Germany

The paper is based on a path planning approach for industrial robot arms with 6 degrees of freedom in an online given 3D environment. It has online capabilities by searching in an implicit and discrete configuration space and detecting collisions in the Cartesian workspace by distance computation based on the given CAD model. Here, we present different methods for specifying the C-space discretization. Besides the usual uniform and heuristic discretization, we investigate two versions of an optimal discretization for a user-predefined Cartesian resolution. The different methods are experimentally evaluated. Additionally, we provide a set of 3-dimensional benchmark problems for a fair comparison of the path planner. For each benchmark, the run-times of our planner are between only 3 and 100 seconds on a Pentium PC with 133 MHz.

关键词： Path planning Service robots Orbital robotics Robotic assembly Process control Intellectual property computer science Defense industry Manipulators Runtime

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control system for motion control of a piezoelectric micromanipulation robot

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Advanced robotics 1998年第6期13卷 577-589页

作者： Santa, Karoly Fatikow, Sergej Department for Computer Science Institute for Process Control and Robotics University of Karlsruhe Karlsruhe 76128 Kaiserstrasse 12 Germany

Abstraet-Micromanipulation by microrobots has become an issue of primary importance in industry and biomedicine, since human manual capabilities are restricted to certain tolerances. The manipulation of biological cells or the assembly of a microsystem composed of several microcomponentsare good examples. An automated microrobot-based micromanipulation desktop station has been developed at the University of Karlsruhe. The process of assembly takes place in the field of view of a light optical microscope. This paper focuses on motion control problems of the piezo-driven microrobotsemployed by the station. The ability to adapt itself to the process requirements is of great importance for micromanipulation robots. They must be able to operate in a partially defined environment and to ensure reasonable behavior in unpredicted situations. A neural control concept basedon a reference model is proposed as a solution. It is shown that the neural controller is able to learn the desired behavior. It considerably outperforms an analytically designed linear controller in the real environment. © 1998 Taylor & Francis Group, LLC.

关键词： control system Micromanipulation Microrobots MRAC-method Neural network

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Vision navigation of an autonomous vehicle by fuzzy reasoning

Vision navigation of an autonomous vehicle by fuzzy reasonin...

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European Signal Processing Conference (EUSIPCO)

作者： W. Li F. M. Wahl Tsinghua University Beijing Beijing CN Institute for Robotics and Computer Control Technical University of Braunchweig Hamburger Str. 267 38114 Braunschweig Germany

This paper presents a method for vision navigation of an autonomous vehicle based on fuzzy reasoning. Autonomous vehicles operating in real world require fast image processing and robustness with respect to noisy sensor readings and with respect to environment changes. The key subject of this paper is the integration of some special domain knowledge into a fuzzy rule base in order to enhance image segmentation performance. The proposed method is applied to navigate the THMR-III autonomous vehicle in out-door environments.

关键词： Image edge detection Roads Vehicles Navigation Image segmentation Mobile robots Fuzzy logic

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Intelligent multi-modal systems

British Telecom technology journal

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British Telecom technology journal 1998年第3期16卷 134-144页

作者： Tsui, K.C. Azvine, B. Djian, D. Voudouris, C. Xu, L.Q. Hong Kong Polytechnic University Hong Kong University of Essex King's College London United Kingdom BT Laboratories United Kingdom ATM Traffic Management United Kingdom Manchester University United Kingdom Dynamics and Control Research Group Engineering Department Manchester University United Kingdom Contr. and Instrum. Research Group Staffordshire University United Kingdom Intelligent Systems Research Unit BT Laboratories United Kingdom Dept. of Engineering Mathematics Bristol University United Kingdom Europ. Netwk. Excellence U. Institut d'Informatique d'Entreprise France Oxford University Robotics Research Group United Kingdom University of Nice France Ecole des Mines de Paris France Natl. Technical University of Athens Greece University of Essex United Kingdom Department of Computer Science University of Essex United Kingdom Intelligent Systems Research Group BT Laboratories United Kingdom Southeast University Nanjing China Institute of Acoustics Chinese Academy of Sciences Beijing China University of East Anglia United Kingdom University of Sussex King's College London United Kingdom University of Abertay Dundee United Kingdom

Research in human/computer interaction has mainly focused on natural language, text, speech and vision primarily in isolation. Recently there have been a number of research projects that have concentrated on the integration of such modalities using intelligent reasoners. The rationale is that many inherent ambiguities in single modes of communication can be resolved if extra information is available. This paper describes an intelligent multi-modal system called the Smart Work Manager. The main characteristics of the Smart Work Manager are that it can process speech, text, face images, gaze information and simulated gestures rising the mouse as input modalities, and its output is in the form of speech, text or graphics. The main components of the system are the reasoner, a speech system, a vision system, an integration platform and the application interface. The overall architecture of the system will be described together with the integration platform and the components of the system which include a non-intrusive neural network based gaze-tracking system. The paper concludes with a discussion on the applicability of such systems to intelligent human/computer interaction and lessons learnt in terms of reliability and efficiency.

关键词： Learning systems

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A bayesian network for 3d object recognition in range data 7th

A bayesian network for 3d object recognition in range data

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7th International Conference on computer Analysis of Images and Patterns, CAIP 1997

作者： Krebs, B. Burkhardt, M. Wahl, F.M. Institute for Robotics and Computer Control Technical University Braunschweig Hamburger Str. 267 BraunschweigD-38114 Germany

ISBN: (纸本)3540634606

Introducing general CAD descriptions in object recognition systems has become a major field of research called CAD based vision (CBV). However, the major problem using free-form object descriptions is how to define recognizable features which can be extracted from sensor data. In this paper we propose new methods for an extraction of 3d space curves from CAD models and from range data. Object identification is performed by correlating feature vectors from significant subcurves. However, features relying on differential surface properties tend to be very vulnerable with respect to noise. To cope with erroneous data we propose to model the statistical behavior of the features using a Bayesian network. Thus, providing a robust and powerful CAD based 3d object recognition system. © Springer-Verlag Berlin Heidelberg 1997.

关键词： Bayesian networks

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3D B-spline curve matching for model based object recognition

3D B-spline curve matching for model based object recognitio...

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IEEE International Conference on Image Processing

作者： B. Krebs B. Korn F.M. Wahl Institute for Robotics and Computer Control Technical University of Braunschweig Brunswick Germany

关键词： Spline Object recognition Data mining Sensor phenomena and characterization

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