Principles of Robot Motion: Theory, Algorithms, and Implementation

Přední strana obálky
MIT Press, 2005 - Počet stran: 603
2 Recenze

Robot motion planning has become a major focus of robotics. Research findings can be applied not only to robotics but to planning routes on circuit boards, directing digital actors in computer graphics, robot-assisted surgery and medicine, and in novel areas such as drug design and protein folding. This text reflects the great advances that have taken place in the last ten years, including sensor-based planning, probabalistic 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, rleating low-level implementation details to high-level algorithmic concepts.

 

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Autorská práva

Běžně se vyskytující výrazy a sousloví

Oblíbené pasáže

Strana 572 - JA Castellanos, JMM Montiel, J. Neira and JD Tardos. The SPmap: A Probabilistic Framework for Simultaneous Localization and Map Building, IEEE Trans.
Strana 584 - JP Laumond, PE Jacobs, M. Taix and RM Murray, "A Motion Planner for Nonholonomic Mobile Robots," IEEE Trans, on Robotics and Automation, vol.
Strana 579 - D. Hsu, J.-C. Latombe, and R. Motwani. Path planning in expansive configuration spaces.
Strana 567 - J. Barraquand, B. Langlois, and J.-C. Latombe. "Numerical Potential Field Techniques for Robot Path Planning".
Strana 569 - Overmars, and AF van der Stappen. The Gaussian sampling strategy for probabilistic roadmap planners. In Proc.
Strana 575 - A. Elfes. Using Occupancy Grids for Mobile Robot Perception and Navigation.
Strana 582 - DE Koditschek and E. Rimon. Robot navigation functions on manifolds with boundary.

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O autorovi (2005)

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

Bibliografické údaje