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Cognitive Reasoning for Compliant Robot Manipulation
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Cognitive Reasoning for Compliant Robot Manipulation/ by Daniel Sebastian Leidner.
作者:
Leidner, Daniel Sebastian.
面頁冊數:
XXXIV, 186 p. 84 illus., 77 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Robotics. -
電子資源:
https://doi.org/10.1007/978-3-030-04858-7
ISBN:
9783030048587
Cognitive Reasoning for Compliant Robot Manipulation
Leidner, Daniel Sebastian.
Cognitive Reasoning for Compliant Robot Manipulation
[electronic resource] /by Daniel Sebastian Leidner. - 1st ed. 2019. - XXXIV, 186 p. 84 illus., 77 illus. in color.online resource. - Springer Tracts in Advanced Robotics,1271610-7438 ;. - Springer Tracts in Advanced Robotics,105.
Introduction -- Fundamentals -- Classifying Compliant Manipulation -- Representations for Compliant Manipulation -- Planning Everyday Manipulation Tasks -- Compliance Parameterization and Task Execution -- Semantic Interpretation of Haptic Feedback -- Applied Intelligent Physical Compliance -- Conclusions.
In order to achieve human-like performance, this book covers the four steps of reasoning a robot must provide in the concept of intelligent physical compliance: to represent, plan, execute, and interpret compliant manipulation tasks. A classification of manipulation tasks is conducted to identify the central research questions of the addressed topic. It is investigated how symbolic task descriptions can be translated into meaningful robot commands.Among others, the developed concept is applied in an actual space robotics mission, in which an astronaut aboard the International Space Station (ISS) commands the humanoid robot Rollin' Justin to maintain a Martian solar panel farm in a mock-up environment.
ISBN: 9783030048587
Standard No.: 10.1007/978-3-030-04858-7doiSubjects--Topical Terms:
561941
Robotics.
LC Class. No.: TJ210.2-211.495
Dewey Class. No.: 629.892
Cognitive Reasoning for Compliant Robot Manipulation
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Introduction -- Fundamentals -- Classifying Compliant Manipulation -- Representations for Compliant Manipulation -- Planning Everyday Manipulation Tasks -- Compliance Parameterization and Task Execution -- Semantic Interpretation of Haptic Feedback -- Applied Intelligent Physical Compliance -- Conclusions.
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