Principles of robot motion theory, algorithms, and implementation
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...
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Other Authors | |
---|---|
Format | eBook |
Language | English |
Published |
Cambridge, Mass. :
MIT Press,
c2005.
|
Series | Intelligent robotics and autonomous agents.
|
Subjects | |
Online Access | Plný text |
Cover
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Table of Contents:
- Cover
- Contents
- Foreword
- Preface
- Acknowledgments
- 1 Introduction
- 2 Bug Algorithms
- 3 Configuration Space
- 4 Potential Functions
- 5 Roadmaps
- 6 Cell Decompositions
- 7 Sampling-Based Algorithms
- 8 Kalman Filtering
- 9 Bayesian Methods
- 10 Robot Dynamics
- 11 Trajectory Planning
- 12 Nonholonomic and Underactuated Systems
- A Mathematical Notation
- B Basic Set Definitions
- C Topology and Metric Spaces
- D Curve Tracing
- E Representations of Orientation
- F Polyhedral Robots in Polyhedral Worlds
- G Analysis of Algorithms and Complexity Classes
- H Graph Representation and Basic Search
- I Statistics Primer
- J Linear Systems and Control
- Bibliography
- Index.