Algorithmic foundation of robotics. VII, Selected contributions of the Seventh International Workshop on the Algorithmic Foundations of Robotics
Algorithms are a fundamental component of robotic systems: they control or reason about motion and perception in the physical world. They receive input from noisy sensors, consider geometric and physical constraints, and operate on the world through imprecise actuators. The design and analysis of ro...
Guardat en:
| Autor corporatiu: | |
|---|---|
| Altres autors: | , , , , , , , |
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2008. |
| Col·lecció: | Springer Tracts in Advanced Robotics
47 |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Algorithmic foundation of robotic, VII, Selected contributions of the seventh international workshop on the algorithmic foundations of robotics, Srivinas Akella, Nancy M. Amato, Wesley H. Huang ... [et al.], editors, Dordrecht, Springer, ill., 2008, 1 vol (XIV-524 p.), Springer tracts in advanced robotics, 978-3-540-68404-6 • Algorithmic Foundation of Robotics VII, Texte imprimé, 9783540864042 • Algorithmic Foundation of Robotics VII, Texte imprimé, 9783642087981 • Algorithmic foundation of robotic, VII, Selected contributions of the seventh international workshop on the algorithmic foundations of robotics, Srivinas Akella, Nancy M. Amato, Wesley H. Huang ... [et al.], editors, Dordrecht, Springer, ill., 2008, 1 vol (XIV-524 p.), Springer tracts in advanced robotics, 978-3-540-68404-6 |
Taula de continguts:
- Probabilistic Roadmap Methods (PRMs) Quantitative Analysis of Nearest-Neighbors Search in High-Dimensional Sampling-Based Motion Planning Path Deformation Roadmaps Workspace-Based Connectivity Oracle: An Adaptive Sampling Strategy for PRM Planning Incremental Map Generation (IMG) Planning for Movable and Moving Obstacles Caging Polygons with Two and Three Fingers An Effective Framework for Path Planning Amidst Movable Obstacles Planning the Shortest Safe Path Amidst Unpredictably Moving Obstacles Planning Among Movable Obstacles with Artificial Constraints Navigation, SLAM, and Error Models for Filtering/Control Inferring and Enforcing Relative Constraints in SLAM Second-Order Theory of Error Propagation on Motion Groups Extensive Representations and Algorithms for Nonlinear Filtering and Estimation Geometric Computations and Applications An Experimental Study of Weighted k-Link Shortest Path Algorithms Low-Discrepancy Curves and Efficient Coverage of Space The Snowblower Problem Stratified Deformation Space and Path Planning for a Planar Closed Chain with Revolute Joints Motion Planning Competitive Disconnection Detection in On-Line Mobile Robot Navigation A Simple Path Non-existence Algorithm Using C-Obstacle Query RESAMPL: A Region-Sensitive Adaptive Motion Planner Motion Planning for a Six-Legged Lunar Robot Applications in Medicine and Biology Constant-Curvature Motion Planning Under Uncertainty with Applications in Image-Guided Medical Needle Steering Extended Abstract: Structure Determination of Symmetric Protein Complexes by a Complete Search of Symmetry Configuration Space Using NMR Distance Restraints Control and Planning for Mechanical Systems The Minimum-Time Trajectories for an Omni-Directional Vehicle Mechanical Manipulation Using Reduced Models of Uncertainty Motion Planning for Variable Inertia Mechanical Systems Sampling-Based Falsification and Verification of Controllers for Continuous Dynamic Systems Sensor Networks and Reconfiguration Surrounding Nodes in Coordinate-Free Networks Passive Mobile Robot Localization within a Fixed Beacon Field Efficient Motion Planning Strategies for Large-Scale Sensor Networks Asymptotically Optimal Kinodynamic Motion Planning for Self-reconfigurable Robots Planning for Games, VR, and Humanoid Motion Visibility-Based Pursuit-Evasion with Bounded Speed Planning Near-Optimal Corridors Amidst Obstacles Using Motion Primitives in Probabilistic Sample-Based Planning for Humanoid Robots