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Probabilistic Robotics

By: By: Material type: TextTextPublication details: MIT Press,: London, 2006Description: 647ISBN:
  • 9780262201629
Subject(s): DDC classification:
  • 629.892 THR
Summary: Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Book Book ACED Aerospace Engineering 629.892 THR (Browse shelf(Opens below)) Checked out 22/09/2025 E07343
Reference Book Reference Book Alliance School of Advanced Computing Aerospace Engineering 629.892 THR (Browse shelf(Opens below)) Not for loan E16329
Reference Book Reference Book Alliance School of Advanced Computing Aerospace Engineering 629.892 THR (Browse shelf(Opens below)) Not for loan E16327
Reference Book Reference Book Alliance School of Advanced Computing Aerospace Engineering 629.892 THR (Browse shelf(Opens below)) Not for loan E16328
Total holds: 0
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629.892 THR Probabilistic Robotics 629.892 THR Probabilistic Robotics 629.892 THR Probabilistic Robotics 629.8932 SIE Introduction to Autonomous Mobile Robots 629.8932 SIE Introduction to Autonomous Mobile Robots

Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.

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