We are improving our search experience. To check which content you have full access to, or for advanced search, go back to the old search.

Search

Please fill in this field.
Filters applied:
Engineering Artificial intelligence

Search Results

Showing 81-100 of 10,000 results

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. Mining for Patterns Based on Contingency Tables by KL-Miner – First Experience

    A new datamining procedure called KL-Miner is presented. The procedure mines for various patterns based on evaluation of two–dimensional contingency...
    Jan Rauch, Milan šimůnek, Václav Lín in Foundations and Novel Approaches in Data Mining
    Chapter

  19. Perception for Human Motion Understanding

    The fact that people are embodied places powerful constraints on their motion. By leveraging these constraints, we can build systems to perceive...
    Christopher R. Wren in Machine Learning and Robot Perception
    Chapter

  20. Rational Theory of Intuition and Its Epistemological Consequences

    This chapter explains and develops the Rational Theory of Intuition introduced in (Wierzbicki 1992, 1997). After preliminary comments, it is...
    Andrzej P. Wierzbicki, Yoshiteru Nakamori in Creative Space
    Chapter
Did you find what you were looking for? Share feedback.