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Principles of robot motion : theory, algorithms, and implementations / Howie Choset, Kevin M. Lynch, Seth Hutchinson, George A. Kantor, Wolfram Burgard, Lydia E. Kavraki, Sebastian Thrun.

By: Contributor(s): Material type: TextTextSeries: Intelligent robotics and autonomous agents seriesPublication details: [S.l.] : A Bradford Book, 2005.Description: 625 p. ; 23 cmISBN:
  • 0262033275 (hardcover)
  • 9780262033275 (hardcover)
Online resources: Summary: 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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Item type Current library Collection Call number Status Barcode
Book Book Air University Central Library Islamabad NFIC 629.892 P93P (Browse shelf(Opens below)) Available P7312

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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