Principles of Robot Motion: Theory, Algorithms, and Implementations (Hardcover)
暫譯: 機器人運動原理:理論、演算法與實作 (精裝版)
Howie Choset, Kevin M. Lynch, Seth Hutchinson, George A. Kantor, Wolfram Burgard, Lydia E. Kavraki, Sebastian Thrun
- 出版商: MIT
- 出版日期: 2005-03-01
- 售價: $1,450
- 貴賓價: 9.8 折 $1,421
- 語言: 英文
- 頁數: 626
- 裝訂: Hardcover
- ISBN: 0262033275
- ISBN-13: 9780262033275
-
相關分類:
機器人製作 Robots、Algorithms-data-structures
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商品描述
Description:
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.
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 Associate Professor and Head of the Autonomous Intelligent Systems Research Lab in the Department of Computer Science 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.
Table of Contents:
Forward xv Preface xvii Acknowledgments xxi 1 Introduction 1 2 Bug Algorithms 17 3 Configuration Space 39 4 Potential Functions 77 5 Roadmaps 107 6 Cell Decompositions 161 7 Sampling-Based Algorithms 197 8 Kalman Filtering 269 9 Bayesian Methods 301 10 Robot Dynamics 349 11 Trajectory Planning 373 12 Nonholonomic and Underactuated Systems 401 A Mathematical Notation 473 B Basic Set Definitions 475 C Topology and Metric Spaces 478 D Curve Tracing 487 E Representations of Orientation 489 F Polyhedral Robots in Polyhedral Worlds 499 G Analysis of Algorithms and Complexity Classes 513 H Graph Representations and Basic Search 521 I Statistics Primer 547 J Linear Systems and Control 552 Bibiolography 565 Index 597
商品描述(中文翻譯)
**描述:**
機器人運動規劃已成為機器人學的一個主要焦點。研究成果不僅可以應用於機器人技術,還可以用於電路板上的路徑規劃、計算機圖形中的數位演員導引、機器人輔助手術和醫學,以及藥物設計和蛋白質摺疊等新興領域。本書反映了過去十年來在感測器基礎規劃、機率規劃、定位與地圖製作,以及動態和非完整系統的運動規劃等方面所取得的重大進展。其呈現方式使機器人運動的數學基礎對計算機科學和工程的學生變得易於理解,並將低層次的實作細節與高層次的演算法概念相連結。
Howie Choset 是卡內基梅隆大學機器人研究所的副教授。
Kevin M. Lynch 是西北大學機械工程系的副教授。
Seth Hutchinson 是伊利諾伊大學香檳分校電機與計算機工程系的教授。
George Kantor 是卡內基梅隆大學機器人研究所機器人基礎中心的專案科學家。
Wolfram Burgard 是弗賴堡大學計算機科學系自主智能系統研究實驗室的副教授及主任。
Lydia E. Kavraki 是萊斯大學計算機科學與生物工程的教授。
Sebastian Thrun 是史丹佛大學計算機科學系的副教授及史丹佛人工智慧實驗室的主任。
**目錄:**
- 前言
- 序言
- 感謝
- 1 介紹
- 2 蟲算法
- 3 配置空間
- 4 潛在函數
- 5 路徑圖
- 6 單元分解
- 7 基於取樣的算法
- 8 卡爾曼濾波
- 9 貝葉斯方法
- 10 機器人動力學
- 11 軌跡規劃
- 12 非完整與欠驅動系統
- A 數學符號
- B 基本集合定義
- C 拓撲與度量空間
- D 曲線追蹤
- E 方向的表示
- F 多面體機器人在多面體世界中
- G 算法與複雜度類別分析
- H 圖形表示與基本搜尋
- I 統計入門
- J 線性系統與控制