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ROBOTICS

ROBOTICS,英語單詞,主要用作名詞,作名詞時譯為“機器人學(xué);機器人(robotic的復(fù)數(shù))”。[1]
  • Probabilistic ROBOTICS.pdf

    斯坦福大牛作品,機器人入門必讀書之一,學(xué)習(xí)后力量無窮

    標(biāo)簽: Probabilistic ROBOTICS pdf

    上傳時間: 2017-11-29

    上傳用戶:BITLQX

  • ROBOTICS modeling, Planning and Control

    This is a great introductory book for manipulators. There are clear examples to help walk through kinematics, dynamics and control.

    標(biāo)簽: ROBOTICS Planning modeling Control and

    上傳時間: 2019-10-28

    上傳用戶:xiangpingfly100

  • Service+ROBOTICS+within+the+Digital+Home

    Over the past few decades there has been an exponential growth in service robots and smart home technologies, which has led to the development of exciting new products in our daily lives. Service robots can be used to provide domestic aid for the elderly and disabled, serving various functions ranging from cleaning to enter- tainment. Service robots are divided by functions, such as personal robots, field robots, security robots, healthcare robots, medical robots, rehabilitation robots and entertainment robots. A smart home appears “intelligent” because its embedded computers can monitor so many aspects of the daily lives of householders. For example, the refrigerator may be able to monitor its contents, suggest healthy alter- natives and order groceries. Also, the smart home system may be able to clean the house and water the plants.

    標(biāo)簽: ROBOTICS Service Digital within Home the

    上傳時間: 2020-06-06

    上傳用戶:shancjb

  • Make an Arduino-Controlled Robot

    Building a robot and enabling it to sense its environment is a wonderful way to take your Arduino knowledge to the next level. In writing this book, I have brought together my love for invention and my experience with electronics, ROBOTICS and microcontrollers. I hope you have as much pleasure building and enhancing your robot as I did developing the techniques contained in this book.

    標(biāo)簽: Arduino-Controlled Robot Make an

    上傳時間: 2020-06-09

    上傳用戶:shancjb

  • Practical Arduino Cool Projects

    Phenomenon is an overused and overloaded term, but somehow it seems appropriate for Arduino—an endeavor that has caught the attention of an astonishingly wide range of people and provided opportunities for those who might otherwise have never picked up a soldering iron or written a single line of code. From dyed-in-the-wool hardware hackers to web page developers, ROBOTICS enthusiasts to installation artists, textile students to musicians: all can be found in the Arduino community. The versatility of the platform encompassing both hardware and software, combined with its inherent openness, has captured the imagination of tens of thousands of developers.

    標(biāo)簽: Practical Projects Arduino Cool

    上傳時間: 2020-06-09

    上傳用戶:shancjb

  • Intelligent Networked Teleoperation Control

    This book describes a unifying framework to networked teleoperation systems cutting across multiple research fields including networked control system for linear and nonlinear forms, bilateral teleoperation, trilateral teleoperation, multilateral teleoperation, cooperative teleoperation, and some teleoperation application examples. Networked control has been deeply studied at the intersection of systems & control and ROBOTICS for a long time, and many scholarly books on the topic have been already published. Nevertheless, the approach remains active even in several new research fields, such as bilateral teleoperation, single master and multiple slaves, trilateral teleoperation, and multilateral teleoperation

    標(biāo)簽: Teleoperation Intelligent Networked Control

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • AI-and-ROBOTICS-IBA-GEI-April-2017

    Modern information technologies and the advent of machines powered by artificial intelligence (AI) have already strongly influenced the world of work in the 21st century. Computers, algorithms and software simplify everyday tasks, and it is impossible to imagine how most of our life could be managed without them. However, is it also impossible to imagine how most process steps could be managed without human force? The information economy characterised by exponential growth replaces the mass production industry based on economy of scales

    標(biāo)簽: AI-and-ROBOTICS-IBA-GEI-April 2017

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • automation-and-ROBOTICS

    In this book for the optimisation of assembly conveyor lines we are dealing with series part production featured by a medium complexity degree and a medium number of individual components and assembly technique alternatives. Modern production techniques for medium to large series products or mass production usually involve assembly conveyor lines. They still use hand labour more or less automated. The aim is to have monotonous and similar in type operations or such causing fatigue, stress and production traumas, gradually replaced by automated assembly cycles, means and techniques. This usually widely involves industrial robots and handlers. Higher productivity, lower cost and higher quality of assembled products are usually required.

    標(biāo)簽: automation-and-ROBOTICS

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • 智能機器人仿真系統(tǒng)設(shè)計

    摘要: 智能機器人仿真系統(tǒng),由于智能機器人受到自身多傳感器信息融合和控制多樣性等因素的影響,仿真系統(tǒng)設(shè)計主要都 是以數(shù)學(xué)建模的形式化仿真為主,無法實現(xiàn)數(shù)學(xué)建模與場景實現(xiàn)協(xié)調(diào)仿真。為此,首先分析兩輪移動機器人數(shù)學(xué)運動模型, 然后設(shè)計與機器人控制系統(tǒng)相關(guān)的傳感器數(shù)據(jù)采集分析、機器人智能自動控制和人工控制等模塊,以實現(xiàn)機器人控制的真 實場景。仿真系統(tǒng)利用 LabVIEW 設(shè)計控制界面,并結(jié)合 ROBOTICS 工具包的建模、計算和控制功能。仿真結(jié)果表明設(shè)計的平 臺更適合教學(xué)和實驗室研究,并可為實際的物理過程提供數(shù)據(jù)參考和決策建議。 關(guān)鍵詞: 機器人; 虛擬; 系統(tǒng)仿真 中圖分類號: TP242 文獻(xiàn)標(biāo)識碼: B1 引言 隨著測控技術(shù)的發(fā)展,虛擬儀器技術(shù)已成為工業(yè)控制和 自動化測試等領(lǐng)域的新生力量[1]。而機器人作為一種新型 的生產(chǎn)工具,應(yīng)用范圍已經(jīng)越來越廣泛,幾乎滲透到各個領(lǐng) 域,是一項多學(xué)科理論與技術(shù)集成的機電一體化技術(shù)。目前 機器人仿真系統(tǒng)主要集中在復(fù)雜的機器人數(shù)學(xué)模型構(gòu)建與 形式化仿真,無法實現(xiàn)分析機器人運動控制的靜態(tài)和動態(tài)特 性,更加無法實現(xiàn)控制的真實場景[2]。為了改善專業(yè)控制軟 件在硬件開發(fā)周期較長的缺點,本文擬建立一個基于通用軟 件的實時仿真和控制平臺,以更適合教學(xué)和實驗室研究。本 文以通用仿真軟件 LabVIEW 和 ROBOTICS [3]為實時仿真與控 制平臺,采用 LabVIEW 搭建控制界面,利用 ROBOTICS 在后臺 進(jìn)行系統(tǒng)模型和優(yōu)化控制算法計算,使其完成機器人控制系 統(tǒng)應(yīng)有的靜態(tài)和動態(tài)性能分析,不同環(huán)境下傳感器變化模擬 顯示以及目標(biāo)路徑形成等功能。 2 系統(tǒng)構(gòu)成 仿真系統(tǒng)的構(gòu)成主要包括了仿真界面、主控制界面、障 礙檢測、智能控制和人工控制模塊。其中主要對人工控制和 智能控制進(jìn)行程序設(shè)計。仿真運行時,障礙檢測一直存在, 主要是為了在智能控制模式下的智能決策提供原始數(shù)據(jù)。 在人工控制模式下,障礙檢測依然存在,只不過對機器人行 動不產(chǎn)生影響,目的是把環(huán)境信息直觀

    標(biāo)簽: 智能機器人

    上傳時間: 2022-03-11

    上傳用戶:

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