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Algorithmic Foundations of Robotics IX

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Cover of 'Algorithmic Foundations of Robotics IX'

Table of Contents

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    Book Overview
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    Chapter 1 Homotopic Path Planning on Manifolds for Cabled Mobile Robots
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    Chapter 2 An Equivalence Relation for Local Path Sets
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    Chapter 3 Using Lie Group Symmetries for Fast Corrective Motion Planning
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    Chapter 4 Asynchronous Distributed Motion Planning with Safety Guarantees under Second-Order Dynamics
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    Chapter 5 Incremental Sampling-Based Algorithms for a Class of Pursuit-Evasion Games
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    Chapter 6 Multiagent Pursuit Evasion, or Playing Kabaddi
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    Chapter 7 Reconfiguring Chain-Type Modular Robots Based on the Carpenter’s Rule Theorem
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    Chapter 8 Algorithmic Foundations of Robotics IX
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    Chapter 9 Algorithmic Foundations of Robotics IX
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    Chapter 10 The Bayes Tree: An Algorithmic Foundation for Probabilistic Robot Mapping
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    Chapter 11 Monte Carlo Value Iteration for Continuous-State POMDPs
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    Chapter 12 Algorithmic Foundations of Robotics IX
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    Chapter 13 GPU-Based Parallel Collision Detection for Real-Time Motion Planning
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    Chapter 14 CCQ: Efficient Local Planning Using Connection Collision Query
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    Chapter 15 Modeling Contact Friction and Joint Friction in Dynamic Robotic Simulation Using the Principle of Maximum Dissipation
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    Chapter 16 Energy-Based Modeling of Tangential Compliance in 3-Dimensional Impact
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    Chapter 17 Sampling-Diagram Automata: A Tool for Analyzing Path Quality in Tree Planners
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    Chapter 18 Sufficient Conditions for the Existence of Resolution Complete Planning Algorithms
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    Chapter 19 Grasp Invariance
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    Chapter 20 Path Planning on Manifolds Using Randomized Higher-Dimensional Continuation
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    Chapter 21 Algorithmic Foundations of Robotics IX
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    Chapter 22 LQG-Based Planning, Sensing, and Control of Steerable Needles
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    Chapter 23 Cyber Detectives: Determining When Robots or People Misbehave
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    Chapter 24 Gravity-Based Robotic Cloth Folding
Overall attention for this book and its chapters
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Title
Algorithmic Foundations of Robotics IX
Published by
Springer Berlin Heidelberg, January 2011
DOI 10.1007/978-3-642-17452-0
ISBNs
978-3-64-217451-3, 978-3-64-217452-0
Editors

David Hsu, Volkan Isler, Jean-Claude Latombe, Ming C. Lin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 10%
France 1 10%
Unknown 8 80%

Demographic breakdown

Readers by professional status Count As %
Professor 2 20%
Student > Ph. D. Student 2 20%
Student > Master 1 10%
Researcher 1 10%
Professor > Associate Professor 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Engineering 4 40%
Computer Science 3 30%
Unknown 3 30%