Probabilistic Robotics (Intelligent Robotics and Autonomous Agents) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025

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Sebastian Thrun 作者

The MIT Press

译者

September 1, 2005 出版日期

667 pages 页数

$60.00 价格

0262201623

丛书系列

9780262201629 图书编码

Probabilistic Robotics (Intelligent Robotics and Autonomous Agents) 在线电子书图书标签: 机器人 Robotics AI Probability 计算机视觉机器人学概率机器学习

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发表于2025-02-06

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Probabilistic Robotics (Intelligent Robotics and Autonomous Agents) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2025

Probabilistic Robotics (Intelligent Robotics and Autonomous Agents) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025

Probabilistic Robotics (Intelligent Robotics and Autonomous Agents) 在线电子书用户评价

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DARPA

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只针对简单的二维模型做了详细的推导，概念清晰，适合入门。三维模型请看State estimation for robotics，有中译本。

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爱它因为它虐我…… 好读，真心花几天无忧无虑的时间认认真真读完啊

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必读

Probabilistic Robotics (Intelligent Robotics and Autonomous Agents) 在线电子书著者简介

Sebastian Thrun is Associate Professor in the Computer Science Department at Stanford University and Director of the Stanford AI Lab. 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. Dieter Fox is Associate Professor and Director of the Robotics and State Estimation Lab in the Department of Computer Science and Engineering at the University of Washington.

Probabilistic Robotics (Intelligent Robotics and Autonomous Agents) 在线电子书图书目录

Probabilistic Robotics (Intelligent Robotics and Autonomous Agents) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Probabilistic Robotics (Intelligent Robotics and Autonomous Agents) 在线电子书图书描述

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.

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