Basic Human–Robot Interaction

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The book's content is designed to provide practical guidance and insights for conducting experiments in Human–Robot Interaction (HRI) and publishing the results in scientific journals. It includes a detailed explanation of how to conduct HRI experiments and what to do and what not to do to get an article accepted for publication. It is tailored to those seeking to deepen their understanding of HRI methodologies, statistical measurements, and research design. The case studies and examples featured in the book focus on interactions between social robots and specific demographics such as children and older adults, making it relevant for individuals working in healthcare, education, and related domains. Also covered are common statistical measurements used in HRI research and quantitative, qualitative, and meta-analyses. The concepts are illustrated with several international case studies of interactions between social robots and children and older adults and robot learning instead of programming. The final chapter explores current trends in HRI and provides insights into what to look for in the coming years. It includes an extensive reference section to help HRI researchers in all these areas. This book will appeal to an international audience of advanced students, researchers, industry, and others who are actively engaged or interested in the field of HRI. Related Link(s) Press Release: How to conduct an HRI experiment: And get an article accepted for publication Sample Chapter(s) Preface Chapter 1: Introduction to Human–Robot Interaction Contents: Introduction to Human–Robot Interaction How to Conduct a Human–Robot Interaction Experiment Measuring User Acceptance Imitating Human Emotions Human–Robot Interaction with Older Adults Human–Robot Interaction with Children Robot Learning The Future of Human–Robot Interaction Readership: Advanced students, researchers, and professionals who are actively engaged or interested in the field of Human–Robot Interaction (HRI).

比 VBA 更強的 RPA 來了！Power Automate Desktop 零程式打造辦公室流程自動化 (1版)

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內容簡介 　　身為白領上班族，工作上免不了充斥著各種例行性事務，有著重複性高和操作單調的特性，像是幫老闆抓資料、幫業務彙總清單，整理部門報表…等，你的工作效率都被這些瑣事給拖垮了。 　　RPA 就是專門解決這樣的困擾！RPA 全名為機器人流程自動化 (Robotic Process Automation)，透過軟體打造的機器人，可以不分時間、隨時隨地，依照指示自動完成各種例行性的工作流程，讓你可以騰出時間迎接全新挑戰，創造自己的價值。 　　唯一零程式、免付費、全中文的 RPA 實戰入門 　　以往的 RPA 工具都是針對工程師設計，對於大部分沒有學過程式語言的人來說，根本難以上手，除非公司的 IT 部門願意花時間協助，不然你只是在給自己找麻煩…。微軟近期推出的自動化流程工具 Power Automate Desktop，完美解決了這個困擾，不僅提供零程式碼的開發介面，不用花太多時間就可以輕鬆上手，而且軟體免費還全中文介面，實在是太佛心啦！ 　　【本書適合族群】 　　☞ 對於剛畢業的新鮮人或基層人員，在工作上要做的雜事最多，又最需要讓主管看到自己的表現，這套工具可以協助你打造個人專屬的小秘書、小幫手，立即改善日常工作效率。 　　☞ 對於在職場打滾一陣子的老鳥，各種工作所需的工具或作業流程已經熟到不行，學會運用 RPA 絕對是讓你更上一層樓的秘密武器。 　　☞ 對於 IT 人員或管理階層，想必為了老闆下令推動的數位轉型 (DX, Digital Transformation) 傷透腦筋，不妨就從門檻最低的 Power Automate Desktop 開始導入，踏出成功轉型的第一步。 　　【本書內容安排】 　　本書從入門開始，教導你使用 Power Automate Desktop 建立自動化流程，共有 10 章，前 3 章為基礎概念介紹，後面 7 章都有實作，按照步驟來，就能創造自己專屬的流程。 　　● Chrome、Edge、Firefox、IE 等瀏覽器自動化設定流程 　　● 詳細解說 UI 介面元素的選取與截圖辨識流程 　　● Excel 自動化與多檔案資料彙總 　　● 自動化網頁爬蟲與網站登入操作應用 　　● 自動列印與 PDF 文件輸出應用 　　● 日期時間、檔案/資料夾清單的處理 　　● 活用各種迴圈、條件判斷，簡化重複性操作 　　● 善用錄製程式自動建立流程 　　● 依條件智慧化執行不同的自動化操作 　　還有更多應用軟體、網站瀏覽、資訊系統的自動化技巧，協助你打造各種作業流程。 目錄 第 1 章 什麼是 RPA 1-1 RPA 概要 1-2 RPA 的種類 1-3 RPA 的導入 第 2 章 Power Automate Desktop 的基本操作 2-1 微軟 Power Automate 介紹 2-2 不同情況下的 Power Automate Desktop 2-3 建立 Microsoft 帳號 2-4 安裝並登入使用 Power Automate Desktop 2-5 Power Automate Desktop 的使用介面 第 3 章 基本自動化流程的建立 3-1 建立流程 3-2 動作 3-3 變數 3-4 資料類型及屬性 3-5 條件 3-6 迴圈 3-7 記錄功能 專欄 1 「電子郵件」動作的設定 專欄 2 「Switch」和「Case」 第 4 章 瀏覽器設定與網頁 UI 元素 4-1 Web 網頁操作的基本動作 4-2 啟動網頁瀏覽器 4-3 拍攝網頁的螢幕擷取畫面 4-4 UI 元素 第 5 章 網頁操作自動化 5-1 Web 網站自動登入 5-2 網頁資料爬蟲 5-3 切換不同頁面 5-4 使用條件篩選資料 5-5 顯示資料擷取結果 第 6 章 Excel 自動化 6-1 透過 Power Automate Desktop 操作 Excel 6-2 啟動 Excel 並選取工作表 6-3 篩選資料 6-4 跨 Excel 檔案之間的資料複製 6-5 儲存 Excel 檔並關閉 第 7 章 Windows 應用程式自動化 7-1 應用程式自動化操作概要 7-2 啟動桌面應用程式並登入 7-3 輸入明細資訊 7-4 輸出 PDF 檔 7-5 應用程式的操作小技巧 7-6 透過影像辨識進行 UI 操作 7-7 用錄製方式建立自動化流程 第 8 章 實戰演練：跨應用程式的自動化流程 8-1 實際操作流程 8-2 建立自動化流程 第 9 章 日期時間與檔案清單 9-1 日期的操作 9-2 檔案與資料夾的操作 第 10 章 快速打造流程的進階技巧 10-1 編輯 UI 元素 10-2 修正無法指定 UI 元素的錯誤 10-3 更有效率點選網頁中的連結 10-4 連線外部服務 10-5 例外處理 10-6 將流程模組化

Human-Robot Interaction Control Using Reinforcement Learning

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【簡介】 A comprehensive exploration of the control schemes of human-robot interactions In Human-Robot Interaction Control Using Reinforcement Learning, an expert team of authors delivers a concise overview of human-robot interaction control schemes and insightful presentations of novel, model-free and reinforcement learning controllers. The book begins with a brief introduction to state-of-the-art human-robot interaction control and reinforcement learning before moving on to describe the typical environment model. The authors also describe some of the most famous identification techniques for parameter estimation. Human-Robot Interaction Control Using Reinforcement Learning offers rigorous mathematical treatments and demonstrations that facilitate the understanding of control schemes and algorithms. It also describes stability and convergence analysis of human-robot interaction control and reinforcement learning based control. The authors also discuss advanced and cutting-edge topics, like inverse and velocity kinematics solutions, H2 neural control, and likely upcoming developments in the field of robotics. Readers will also enjoy: A thorough introduction to model-based human-robot interaction control Comprehensive explorations of model-free human-robot interaction control and human-in-the-loop control using Euler angles Practical discussions of reinforcement learning for robot position and force control, as well as continuous time reinforcement learning for robot force control In-depth examinations of robot control in worst-case uncertainty using reinforcement learning and the control of redundant robots using multi-agent reinforcement learning Perfect for senior undergraduate and graduate students, academic researchers, and industrial practitioners studying and working in the fields of robotics, learning control systems, neural networks, and computational intelligence, Human-Robot Interaction Control Using Reinforcement Learning is also an indispensable resource for students and professionals studying reinforcement learning. 【目錄】