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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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