《概率机器人》封面

概率机器人

Probabilistic robotics

Sebastian Thrun、Dieter Fox、Wolfram Burgard · 初版 2005 年

26人推荐
34位读者提及
39次提及

为什么值得读

  • 深入探讨严苛硬件约束下的机器学习类算法
  • 覆盖机器人学与计算机视觉核心概率模型
  • 比基础入门书更具深度与理论强度

Hacker News 上怎么说

  • 在机器人 / 计算机视觉领域:- Thrun 等人的《Probabilistic Robotics》(概率机器人)- Hartley / Zisserman 的《Multiple View Geometry》(多视图几何)- 马毅等人的《An Invitation to 3D Vision》- Bishop 的《Pattern Recognition and Machine Learning》(PRML)- Boyd 的《Convex Optimization》(凸优化)

    In Robotics / Computer Vision: - Thrun et. al, Probabilistic Robotics - Multiple View Geometry, Hartley / Zisserman - An Invitation to 3D Vision, Ma - Pattern Recognition and Machine Learning, Bishop -Convex Optimization, Boyd

  • ……(前方高能!!难度极大)机器人方向。(w)《Probabilistic Graphical Models: Principles and Techniques》(概率图模型:原理与技术,自适应计算与机器学习系列)——这本书本身不是讲机器人的,但对理解下一本书很有帮助;(x) Thrun、Burgard 和 Fox 写的《Probabilistic Robotics》(概率机器人,智能机器人与自主智能体系列)。附注:这些书我全买了(除了 AIMA 第 3 版我只有出版前的 pdf),要是班加罗尔有 HN 网友想在买之前翻翻看……

    …(warning TOUGH!!) Robotics. (w) Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning) - not about robotics per se but useful to understand the next book (x) Probabilistic Robotics (Intelligent Robotics and Autonomous Agents) by Thrun, Burgard and Fox PS: I own all these books (except AIMA 3 for which I only have pre pub pdfs) and if any HN folks in Bangalore want to browse before…

  • ……听起来那样。这给“corner cases”(极端边界情况)赋予了全新的含义。书单推荐:老而弥坚、能给认真想入门的新手提供全面概览的是 Ron Arkin 的《Behavior Based Robotics》。稍硬核一点的:《Probabilistic Robotics》,Thrun/Burgard/Fox 合著。另外我最喜欢给机器人新手的一条建议是:你的第一台机器人自重一定要足够轻,免得漏打一个分号就把你家客厅的墙板给砸出个大洞……

    …it sounds. Brings new meaning to the phrase "corner cases". Books: An oldie but goodie that gives serious beginners a good overview is "Behavior Based Robotics" by Ron Arkin. A little more intense: "Probabilistic Robotics", Thrun/Burgard/Fox. And my favorite piece of advice to all robot beginners: Your first robot should have low enough mass that a missing semicolon does not put a hole the the wallboard of your living…

  • ……approach》(计算机视觉:一种现代方法)。http://www.amazon.com/Computer-Vision-Approach-David-Forsyth... 我还会推荐 Mitchell 的《Machine Learning》、Strang 的《Linear Algebra and its Applications》(线性代数及其应用),再顺便带上一本 Thrun 新出的《Probabilistic Robotics》当调剂。

    …approach". http://www.amazon.com/Computer-Vision-Approach-David-Forsyth... I would also recommend Mitchell's "Machine Learning", Strang's "Linear Algebra and it's applications", and throw in Thrun's new "Probabilistic Robotics" for fun.

  • ……某个主题被引用最多的论文,然后在 videolectures.net 上找他们的讲座视频。前面有人已经提到了 Jordan、Bishop 和 Friedman——这些大佬都很赞。我真的很喜欢 Thrun、Burgard 和 Fox 写的教材《Probabilistic Robotics》——他们在非常严苛的限制条件下(CPU 性能受限且要求实时性)运用了大量类似 ML 的算法。AdaBoost 发明人 Schapire 有一门很棒的课 http://www.cs.princeton.edu/~schapire/ Hinton……

    …cited papers for a topic and then find their lectures on videolectures.net Other's already mentioned Jordan, Bishop and Friedman - these are all great I really liked Thrun, Burgard, and Fox's text Probabilistic Robotics - they use a lot of ML like algorithms under very tough constraints (limited CPU and real-time performance) Shapire (inventor of AdaBoost) has a good course http://www.cs.princeton.edu/~schapire/ Hinton…

  • 必须附上《Probabilistic Robotics》的链接——公认是该领域的头号参考书,由顶级机器人专家(Thrun、Burgard 和 Fox)操刀:http://www.amazon.com/Probabilistic-Robotics-Intelligent-Aut...

    Obligatory link to "Probabilistic Robotics" -- generally considered the #1 reference on the subject, written by top roboticists (Thrun, Burgard, and Fox): http://www.amazon.com/Probabilistic-Robotics-Intelligent-Aut...

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