You are not signed in. Sign in.

List Books: Buy books on ListBooks.org

Principles of Robot Motion: Theory, Algorithms, and Implementations »

Book cover image of Principles of Robot Motion: Theory, Algorithms, and Implementations by Howie Choset

Authors: Howie Choset, Sebastian Thrun, Lydia E. Kavraki, Wolfram Burgard, Kevin M. Lynch
ISBN-13: 9780262033275, ISBN-10: 0262033275
Format: Hardcover
Publisher: MIT Press
Date Published: June 2005
Edition: (Non-applicable)

Find Best Prices for This Book »

Author Biography: Howie Choset

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

Kevin M. Lynch is Associate Professor in the Mechanical Engineering Department, Northwestern University.

Seth Hutchinson is Professor in the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign.

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

Wolfram Burgard is Professor of Computer Science and Head of the research lab for Autonomous Intelligent Systems at the University of Freiburg.

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

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

Book Synopsis

A text that makes the mathematical underpinnings of robot motion accessible and relates low-level details of implementation to high-level algorithmic concepts.

Table of Contents

1Introduction1
2Bug algorithms17
3Configuration space39
4Potential functions77
5Roadmaps107
6Cell decompositions161
7Sampling-based algorithms197
8Kalman filtering269
9Bayesian methods301
10Robot dynamics349
11Trajectory planning373
12Nonholonomic and underactuated systems401
AMathematical notation473
BBasic set definitions475
CTopology and metric spaces478
DCurve tracing487
ERepresentations of orientation489
FPolyhedral robots in polyhedral worlds499
GAnalysis of algorithms and complexity classes513
HGraph representation and basic search521
IStatistics primer547
JLinear systems and control552

Subjects