找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Data Mining for Social Robotics; Toward Autonomously Yasser Mohammad,Toyoaki Nishida Book 2015 Springer International Publishing Switzerla

[復制鏈接]
查看: 46018|回復: 54
樓主
發(fā)表于 2025-3-21 19:07:37 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data Mining for Social Robotics
副標題Toward Autonomously
編輯Yasser Mohammad,Toyoaki Nishida
視頻videohttp://file.papertrans.cn/263/262954/262954.mp4
概述Reviews the key recent research in social robotics, learning from demonstration and imitation.Offers a detailed explanation of key algorithms in change discovery, motif discovery and causality analysi
叢書名稱Advanced Information and Knowledge Processing
圖書封面Titlebook: Data Mining for Social Robotics; Toward Autonomously  Yasser Mohammad,Toyoaki Nishida Book 2015 Springer International Publishing Switzerla
描述.This book explores an approach to social robotics based solely on autonomous unsupervised techniques and positions it within a structured exposition of related research in psychology, neuroscience, HRI, and data mining.? The authors present an autonomous and developmental approach that allows the robot to learn interactive behavior by imitating humans using algorithms from time-series analysis and machine learning. ..The first part provides a comprehensive and structured introduction to time-series analysis, change point discovery, motif discovery and causality analysis focusing on possible applicability to HRI problems. Detailed explanations of all the algorithms involved are provided with open-source implementations in MATLAB enabling the reader to experiment with them. Imitation and simulation are the key technologies used to attain social behavior autonomously in the proposed approach. ?Part two gives the reader a wide overview of research in these areas in psychology, and ethology. Based on this background, the authors discuss approaches to endow robots with the ability to autonomously learn how to be social.? ..Data Mining for Social Robots. will be essential reading for gra
出版日期Book 2015
關(guān)鍵詞Change Point Discovery; Constrained Motif Discovery; Human Robot Interaction; Imitation Learning; Social
版次1
doihttps://doi.org/10.1007/978-3-319-25232-2
isbn_softcover978-3-319-79755-7
isbn_ebook978-3-319-25232-2Series ISSN 1610-3947 Series E-ISSN 2197-8441
issn_series 1610-3947
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

書目名稱Data Mining for Social Robotics影響因子(影響力)




書目名稱Data Mining for Social Robotics影響因子(影響力)學科排名




書目名稱Data Mining for Social Robotics網(wǎng)絡公開度




書目名稱Data Mining for Social Robotics網(wǎng)絡公開度學科排名




書目名稱Data Mining for Social Robotics被引頻次




書目名稱Data Mining for Social Robotics被引頻次學科排名




書目名稱Data Mining for Social Robotics年度引用




書目名稱Data Mining for Social Robotics年度引用學科排名




書目名稱Data Mining for Social Robotics讀者反饋




書目名稱Data Mining for Social Robotics讀者反饋學科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:10:45 | 只看該作者
Book 2015ch. ?Part two gives the reader a wide overview of research in these areas in psychology, and ethology. Based on this background, the authors discuss approaches to endow robots with the ability to autonomously learn how to be social.? ..Data Mining for Social Robots. will be essential reading for gra
板凳
發(fā)表于 2025-3-22 03:53:36 | 只看該作者
地板
發(fā)表于 2025-3-22 06:45:54 | 只看該作者
5#
發(fā)表于 2025-3-22 09:21:00 | 只看該作者
6#
發(fā)表于 2025-3-22 15:48:50 | 只看該作者
https://doi.org/10.1007/978-3-319-25232-2Change Point Discovery; Constrained Motif Discovery; Human Robot Interaction; Imitation Learning; Social
7#
發(fā)表于 2025-3-22 17:58:23 | 只看該作者
978-3-319-79755-7Springer International Publishing Switzerland 2015
8#
發(fā)表于 2025-3-22 22:18:48 | 只看該作者
The Embodied Interactive Control Architecturecal social embodiment. EICA has two components: a general behavioral robotic architecture with a flexible action integration mechanism upon which interaction protocol learning to support autonomous sociality is implemented.
9#
發(fā)表于 2025-3-23 03:30:15 | 只看該作者
10#
發(fā)表于 2025-3-23 07:19:21 | 只看該作者
Commentar zur Pharmacopoea GermanicaHow to create a social robot that people do not only . but relate to? This book is an attempt to answer this question and will advocate using the same approach used by infants to grow into social beings: developing natural interaction capacity autonomously.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-29 07:42
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復 返回頂部 返回列表
抚宁县| 犍为县| 北票市| 交城县| 诸暨市| 浮山县| 万州区| 利辛县| 固安县| 拜城县| 怀安县| 通海县| 自贡市| 蒲江县| 西贡区| 临泽县| 临清市| 广汉市| 容城县| 岗巴县| 龙岩市| 岐山县| 无极县| 西华县| 海安县| 平泉县| 阿巴嘎旗| 米泉市| 兴安盟| 丹江口市| 常山县| 米脂县| 黄石市| 清徐县| 菏泽市| 嵊州市| 乐安县| 康定县| 辛集市| 定西市| 石河子市|