Principles of Robot Motion - Howie Choset , Kevin Lynch , Seth... - Librairie Eyrolles
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Principles of Robot Motion

Principles of Robot Motion

Theory, Algorithms, and Implementations

Howie Choset, Kevin Lynch, Seth Hutchinson, George Kantor, Wolfram Burgard, Lydia E. Kavraki, Sebastian Thrun - Collection Intelligent Robotics and Autonomous Agents

610 pages, parution le 07/07/2005

Résumé

This text reflects the great advances in the field that have taken place in the last ten years, including sensor-based planning, probabilistic planning, localization and mapping, and motion planning for dynamic and nonholonomic systems. Its presentation makes the mathematical underpinnings of robot motion accessible to students of computer science and engineering, relating low-level implementation details to high-level algorithmic concepts.

L'auteur - Howie Choset

Howie Choset is Associate Professor in the Robotics Institute at Carnegie Mellon University.

L'auteur - Kevin Lynch

Autres livres de Kevin Lynch

L'auteur - Seth Hutchinson

Seth Hutchinson is currently a Professor at the University of Illinois in Urbana-Champaign, and a senior editor of the IEEE Transactions on Robotics and Automation. He has published extensively on the topics of robotics and computer vision.

L'auteur - George Kantor

George Kantor is Project Scientist in the Center for the Foundations of Robotics, Robotics Institute, Carnegie Mellon University.

L'auteur - Wolfram Burgard

Wolfram Burgard is Associate Professor and Head of the Autonomous Intelligent Systems Research Lab in the Department of Computer Science at the University of Freiburg.

L'auteur - Lydia E. Kavraki

Lydia E. Kavraki is Professor of Computer Science and Bioengineering, Rice University.

L'auteur - Sebastian Thrun

Sebastian Thrun is Associate Professor in the Computer Science Department at Stanford University and Director of the Stanford AI Lab.

Sommaire

  • Introduction
  • Bug Algorithms
  • Configuration Space
  • Potential Functions
  • Roadmaps
  • Cell Decompositions
  • Sampling-Based Algorithms
  • Kalman Filtering
  • Bayesian Methods
  • Robot Dynamics
  • Trajectory Planning
  • Nonholonomic and Underactuated Systems
  • Mathematical Notation
  • Basic Set Definitions
  • Topology and Metric Spaces
  • Curve Tracing
  • Representations of Orientation
  • Polyhedral Robots in Polyhedral Worlds
  • Analysis of Algorithms and Complexity Classes
  • Graph Representations and Basic Search
  • Statistics Primer
  • Linear Systems and Control
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Caractéristiques techniques

  PAPIER
Éditeur(s) The MIT Press
Auteur(s) Howie Choset, Kevin Lynch, Seth Hutchinson, George Kantor, Wolfram Burgard, Lydia E. Kavraki, Sebastian Thrun
Collection Intelligent Robotics and Autonomous Agents
Parution 07/07/2005
Nb. de pages 610
Format 21 x 23,5
Couverture Relié
Poids 1330g
Intérieur Noir et Blanc
EAN13 9780262033275
ISBN13 978-0-262-03327-5

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