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Handling Uncertainty and Networked Structure in Robot Control

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Cover of 'Handling Uncertainty and Networked Structure in Robot Control'

Table of Contents

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    Book Overview
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    Chapter 1 Robot Learning for Persistent Autonomy
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    Chapter 2 The Explore–Exploit Dilemma in Nonstationary Decision Making under Uncertainty
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    Chapter 3 Learning Complex Behaviors via Sequential Composition and Passivity-Based Control
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    Chapter 4 Visuospatial Skill Learning
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    Chapter 5 Observer Design for Robotic Systems via Takagi–Sugeno Models and Linear Matrix Inequalities
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    Chapter 6 Homography Estimation Between Omnidirectional Cameras Without Point Correspondences
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    Chapter 7 Dynamic 3D Environment Perception and Reconstruction Using a Mobile Rotating Multi-beam Lidar Scanner
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    Chapter 8 RoboSherlock : Unstructured Information Processing Framework for Robotic Perception
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    Chapter 9 Navigation Under Uncertainty Based on Active SLAM Concepts
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    Chapter 10 Interactive Segmentation of Textured and Textureless Objects
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    Chapter 11 Vision-Based Quadcopter Navigation in Structured Environments
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    Chapter 12 Bilateral Teleoperation in the Presence of Jitter: Communication Performance Evaluation and Control
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    Chapter 13 Decentralized Formation Control in Fleets of Nonholonomic Robots with a Clustered Pattern
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    Chapter 14 Hybrid Consensus-Based Formation Control of Nonholonomic Mobile Robots
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    Chapter 15 A Multi Agent System for Precision Agriculture
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Title
Handling Uncertainty and Networked Structure in Robot Control
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-26327-4
ISBNs
978-3-31-926325-0, 978-3-31-926327-4
Authors

Chevalier, Amélie, Copot, Cosmin, De Keyser, Robain, Hernandez Naranjo, Jairo Andres, Ionescu, Clara-Mihaela

Editors

Lucian Busoniu, Levente Tamás

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Italy 1 2%
Belgium 1 2%
Unknown 39 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 40%
Student > Master 7 17%
Student > Doctoral Student 5 12%
Researcher 4 10%
Student > Postgraduate 2 5%
Other 3 7%
Unknown 4 10%
Readers by discipline Count As %
Engineering 24 57%
Computer Science 8 19%
Decision Sciences 2 5%
Physics and Astronomy 1 2%
Energy 1 2%
Other 3 7%
Unknown 3 7%