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Planning Algorithms
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Open Learning - Online Books
Tuesday, 19 May 2009 14:57

Description

Book presents a unified treatment of many different kinds of planning algorithms. The subject lies at the crossroads between robotics, control theory, artificial intelligence, algorithms, and computer graphics. The particular subjects covered include motion planning, discrete planning, planning under uncertainty, sensor-based planning, visibility, decision-theoretic planning, game theory, information spaces, reinforcement learning, nonlinear systems, trajectory planning, nonholonomic planning, and kinodynamic planning.

Author(s)

Steven M. LaValle

Chapters

  1. Introduction
  2. Discrete Planning
  3. Geometric Representations and Transformations
  4. The Configuration Space
  5. Sampling-Based Motion Planning
  6. Combinatorial Motion Planning
  7. Extensions of Basic Motion Planning
  8. Feedback Motion Planning
  9. Basic Decision Theory
  10. Sequential Decision Theory
  11. Sensors and Information Spaces
  12. Planning Under Sensing Uncertainty
  13. Differential Models
  14. Sampling-Based Planning Under Differential Constraints
  15. System Theory and Analytical Techniques

Core Links

Online Book

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