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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics

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Knowledge Representations for Planning Manipulation Tasks (Hardcover, 2012 ed.) Loot Price: R2,780
Discovery Miles 27 800
Knowledge Representations for Planning Manipulation Tasks (Hardcover, 2012 ed.): Franziska Zacharias

Knowledge Representations for Planning Manipulation Tasks (Hardcover, 2012 ed.)

Franziska Zacharias

Series: Cognitive Systems Monographs, 16

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Loot Price R2,780 Discovery Miles 27 800 | Repayment Terms: R261 pm x 12*

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In this book, the capability map, a novel general representation of the kinematic capabilities of a robot arm, is introduced. The capability map allows to determine how well regions of the workspace are reachable for the end effector in different orientations. It is a representation that can be machine processed as well as intuitively visualized for the human. The capability map and the derived algorithms are a valuable source of information for high- and low-level planning processes. The versatile applicability of the capability map is shown by examples from several distinct application domains. In human-robot interaction, a bi-manual interface for tele-operation is objectively evaluated. In low-level geometric planning, more human-like motion is planned for a humanoid robot while also reducing the computation time. And in high-level task reasoning, the suitability of a robot for a task is evaluated.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Cognitive Systems Monographs, 16
Release date: 2012
First published: 2012
Authors: Franziska Zacharias
Dimensions: 235 x 155 x 11mm (L x W x T)
Format: Hardcover
Pages: 148
Edition: 2012 ed.
ISBN-13: 978-3-642-25181-8
Categories: Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
LSN: 3-642-25181-1
Barcode: 9783642251818

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