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  1. 6 Efficient and Precise Grasp Planning for Real World Objects

    With the development of .exible and highly integrated dexterous grip** devices (e.g. fig.6.1) the research results on grasp and manipulation...
    Christoph Borst, Max Fischer, Gerd Hirzinger in Multi-point Interaction with Real and Virtual Objects
    Chapter

  2. 4 Modelling and Controlling the Compliance of a Robotic Hand with Soft Finger-pads

    Compliant pads greatly contribute to increase the robustness and the stability of grasps of robot hands, because of their conformability to the...
    L. Biagiotti, P. Tiezzi, ... C. Melchiorri in Multi-point Interaction with Real and Virtual Objects
    Chapter

  3. 7 Conclusions

    Gyrover is a novel concept for mobility that has distinct advantages over conventional, statically stable vehicles. The concept has been veri.ed with...
    Yangsheng Xu, Yongsheng Ou in Control of Single Wheel Robots
    Chapter

  4. On-line Model Learning for Mobile Manipulations

    In control system design, modeling the control objects is the foundation of high performance controllers. In most cases, the model is unknown before...
    Yu Sun, Ning **, **dong Tan in Machine Learning and Robot Perception
    Chapter

  5. A Vision of the New Civilization Era

    This chapter is organized as follows. After stressing the importance of having a vision on the verge of the new era of knowledge civilization, we...
    Andrzej P. Wierzbicki, Yoshiteru Nakamori in Creative Space
    Chapter

  6. A New Role of Systems Science Informed Systems Approach

    This chapter is organized as follows. We show first that, while systems science is by its definition interdisciplinary, a split into soft systems...
    Andrzej P. Wierzbicki, Yoshiteru Nakamori in Creative Space
    Chapter

  7. 7 Geometrical Parameter Estimation and CF Recognition

    This chapter presents the estimator component of the autonomous compliant motion system (see Fig. 1.2). This component...
    Tine Lefebvre, Herman Bruyninckx, Joris De Schutter in Nonlinear Kalman Filtering for Force-Controlled Robot Tasks
    Chapter

  8. 3 Literature Survey: Bayesian Probability Theory

    This chapter presents some basic aspects of Bayesian probability theory [21, 153]. First of all, the difference between Bayesian and classical...
    Tine Lefebvre, Herman Bruyninckx, Joris De Schutter in Nonlinear Kalman Filtering for Force-Controlled Robot Tasks
    Chapter

  9. 8 Experiment: A Cube-In-Corner Assembly

    This chapter validates the theory of the previous chapters with an experiment. The experiment consists of the estimation of the geometrical...
    Tine Lefebvre, Herman Bruyninckx, Joris De Schutter in Nonlinear Kalman Filtering for Force-Controlled Robot Tasks
    Chapter

  10. 6. Kinematic Control of UVMSs

    A robotic system is kinematically redundant when it possesses more degrees of freedom than those required to execute a given task. A generic...
    Gianluca Antonelli in Underwater Robots – 2nd Edition
    Chapter

  11. 6 Contact Modelling

    This chapter describes the contact modelling for autonomous compliant motion assuming quasi-static, rigid, frictionless contacts. The contact models...
    Tine Lefebvre, Herman Bruyninckx, Joris De Schutter in Nonlinear Kalman Filtering for Force-Controlled Robot Tasks
    Chapter

  12. E Partial Observation with the Kalman Filter

    This appendix contains the proofs of Lemmas 7.1 and 7.2. These lemmas state that, for static systems, (i) a Kalman Filter can be run on only the...
    Tine Lefebvre, Herman Bruyninckx, Joris De Schutter in Nonlinear Kalman Filtering for Force-Controlled Robot Tasks
    Chapter

  13. Research Issues in Web Structural Delta Mining

    Web structure mining has been a well-researched area during recent years. Based on the observation that data on the web may change at any time in any...
    Qiankun Zhao, Sourav S. Bhowmick, Sanjay Madria in Foundations and Novel Approaches in Data Mining
    Chapter

  14. Cognitive User Modeling Computed by a Proposed Dialogue Strategy Based on an Inductive Game Theory

    This paper advocates the concept of user modeling (UM), which involves dialogue strategies. We focus on human-machine collaboration, which is endowed...
    Hirotaka Asai, Takamasa Koshizen, ... Kazuyuki Aihara in Machine Learning and Robot Perception
    Chapter

  15. 4 Kalman Filters for Nonlinear Systems

    The Kalman Filter (KF) [137, 240] is a special case of Bayesian filtering theory. It applies to the estimation of a continuous-valued state x if the...
    Tine Lefebvre, Herman Bruyninckx, Joris De Schutter in Nonlinear Kalman Filtering for Force-Controlled Robot Tasks
    Chapter

  16. Multi-knowledge Approach for Mobile Robot Identification of a Changing Environment

    In this paper, a large environment is divided into sub-areas to enable a robot to apply precise localization technology efficiently in real time....
    Qing**ang Wu, T.M. McGinnity, ... Brendan Glackin in European Robotics Symposium 2006
    Conference paper

  17. In Situ Autonomous Biomechanical Characterization

    This paper presents a fully automated microrobotic system based on force/vision referenced control designed for cell mechanical characterization. The...
    Mehdi Boukallel, Maxime Girot, Stéphane Régnier in European Robotics Symposium 2006
    Conference paper

  18. Image-Based Visual Servoing for Mobile Robots with Catadioptric Camera

    This paper presents an image-based visual servoing strategy for holonomic mobile robots equipped with a catadioptric camera. This kind of vision...
    Gian Luca Mariottini, Domenico Prattichizzo, Andrea Cerbella in European Robotics Symposium 2006
    Conference paper

  19. Representation, Recognition and Generation of Actions in the Context of Imitation Learning

    The paper deals with the development of a cognitive architecture for learning by imitation in which a rich conceptual representation of the observed...
    Haris Dindo, Ignazio Infantino in European Robotics Symposium 2006
    Conference paper

  20. A Measurement-Theoretic Foundation of Rule Interestingness Evaluation

    Many measures have been proposed and studied extensively in data mining for evaluating the interestingness (or usefulness) of discovered rules. They...
    Yiyu Yao, Yaohua Chen, Xuedong Yang in Foundations and Novel Approaches in Data Mining
    Chapter
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