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Titlebook: Control Problems in Robotics; Antonio Bicchi,Domenico Prattichizzo,Henrik Iskov Book 2003 Springer-Verlag Berlin Heidelberg 2003 Automati

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Stability Analysis of Invariant Visual Servoing and Robustness to Parametric Uncertainties, methods, the invariant visual servoing approach can be used with a zooming camera or when the reference image is learned with a camera different from that used for servoing. Even if the error computed in an invariant space does not depend on the camera intrinsic parameters, they are needed to estim
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1610-7438 ntrol Systems Society and the IEEE Robotics and Automation Society. Noticeably, the previous volume was published in the Springer Lecture Notes on Control and Information Sciences. The authors are recognised as leading scholars internationally. A n- be978-3-642-05535-5978-3-540-36224-1Series ISSN 1610-7438 Series E-ISSN 1610-742X
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Path Optimization for Nonholonomic Systems: Application to Reactive Obstacle Avoidance and Path Placation in mobile robotics and addresses the problem of reactive trajectory deformation for nonholonomic mobile robots (. a cart towing a trailer) in order to avoid unexpected obstacles, and cope with map uncertainty and localization errors.
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Cartesian Compliant Control Strategies for Light-Weight, Flexible Joint Robots, from a theoretical point of view it is not always possible to prove the stability of simpler, practically implementable controller structures. The solutions chosen for the DLR robots, as well as some experimental results are presented.
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A Passivity Approach to Vision-based Dynamic Control of Robots with Nonlinear Observer, dynamic visual feedback system which contains the manipulator dynamics. Finally the main results with respect to stability and . .-gain performance analysis for the proposed dynamic visual feedback control are discussed. Our proposed method is based on passivity of the visual feedback system and the manipulator dynamics.
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Eiweißsynthese in der Wand des Dünndarmsapproaches are described that produce approximately-optimal solutions for low-dimensional problems. Rapidly-exploring Random Tree (RRT) approaches are described that can find feasible, non-optimal solutions for higher-dimensional problems. Several key issues for future research are discussed.
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