Robotic Tactile Perception and Understanding: A Sparse Coding Method
暫譯: 機器人觸覺感知與理解：稀疏編碼方法

Liu, Huaping, Sun, Fuchun

Robotic Tactile Perception and Understanding: A Sparse Coding Method
  • 出版商: Springer
  • 出版日期: 2018-12-29
  • 售價: $5,710
  • 貴賓價: 9.5 折 $5,425
  • 語言: 英文
  • 頁數: 207
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9811338736
  • ISBN-13: 9789811338731
  • 相關分類: 機器人製作 Robots

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book introduces the challenges of robotic tactile perception and task understanding, and describes an advanced approach based on machine learning and sparse coding techniques. Further, a set of structured sparse coding models is developed to address the issues of dynamic tactile sensing. The book then proves that the proposed framework is effective in solving the problems of multi-finger tactile object recognition, multi-label tactile adjective recognition and multi-category material analysis, which are all challenging practical problems in the fields of robotics and automation. The proposed sparse coding model can be used to tackle the challenging visual-tactile fusion recognition problem, and the book develops a series of efficient optimization algorithms to implement the model. It is suitable as a reference book for graduate students with a basic knowledge of machine learning as well as professional researchers interested in robotic tactile perception and understanding, and machine learning.

商品描述(中文翻譯)

本書介紹了機器人觸覺感知和任務理解的挑戰，並描述了一種基於機器學習和稀疏編碼技術的先進方法。此外，開發了一組結構化的稀疏編碼模型，以解決動態觸覺感測的問題。本書接著證明了所提出的框架在解決多指觸覺物體識別、多標籤觸覺形容詞識別和多類別材料分析等問題上是有效的，這些都是機器人技術和自動化領域中的挑戰性實際問題。所提出的稀疏編碼模型可以用來解決具有挑戰性的視覺-觸覺融合識別問題，並且本書開發了一系列高效的優化算法來實現該模型。本書適合作為具有基本機器學習知識的研究生以及對機器人觸覺感知和理解及機器學習感興趣的專業研究人員的參考書籍。

作者簡介

Huaping Liu is an associate professor at the Department of Computer Science and Technology, Tsinghua University. He serves as an associate editor for various journals, including IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Industrial Informatics, IEEE Robotics & Automation Letters, Neurocomputing, Cognitive Computation. He has served as an associate editor for ICRA and IROS and on IJCAI, RSS, and IJCNN Program Committees. His research interests include robotic perception and learning.

Fuchun Sun is a full professor at the Department of Computer Science and Technology, Tsinghua University. He is the recipient of National Science Fund for Distinguished Young Scholars. He serves as an associate editor for a number of international journals, including IEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Transactions on Fuzzy Systems, Mechatronics, Robotics and Autonomous Systems. His research interests include intelligent control and robotics.

作者簡介(中文翻譯)

胡平劉是清華大學計算機科學與技術系的副教授。他擔任多個期刊的副編輯，包括《IEEE自動化科學與工程期刊》、《IEEE工業資訊期刊》、《IEEE機器人與自動化快報》、《神經計算》和《認知計算》。他曾擔任ICRA和IROS的副編輯，並參與IJCAI、RSS和IJCNN的程序委員會。他的研究興趣包括機器人感知和學習。

孫福春是清華大學計算機科學與技術系的正教授。他是國家優秀青年科學基金的獲得者。他擔任多個國際期刊的副編輯，包括《IEEE系統、人與控制論：系統期刊》、《IEEE模糊系統期刊》、《機電一體化》、《機器人與自主系統》。他的研究興趣包括智能控制和機器人技術。

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