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Algorithmic Foundations of Robotics XV

Overview of attention for book
Algorithmic Foundations of Robotics XV
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Parametrized Motion Planning and Topological Complexity
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    Chapter 2 A New Application of Discrete Morse Theory to Optimizing Safe Motion Planning Paths
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    Chapter 3 Design Space Exploration for Sampling-Based Motion Planning Programs with Combinatory Logic Synthesis
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    Chapter 5 Efficient Motion Planning Under Obstacle Uncertainty with Local Dependencies
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    Chapter 6 Distributed Spacing Control for Multiple, Buoyancy-Controlled Underwater Robots
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    Chapter 7 Decentralized Robot Swarm Clustering: Adding Resilience to Malicious Masquerade Attacks
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    Chapter 8 The Role of Heterogeneity in Autonomous Perimeter Defense Problems
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    Chapter 9 PiP-X: Funnel-Based Online Feedback Motion Planning/Replanning in Dynamic Environments
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    Chapter 10 Sample-Efficient Safety Assurances Using Conformal Prediction
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    Chapter 12 Hierarchical Reinforcement Learning Under Mixed Observability
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    Chapter 13 Nondeterminism Subject to Output Commitment in Combinatorial Filters
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    Chapter 14 Partial Satisfaction of Signal Temporal Logic Specifications for Coordination of Multi-robot Systems
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    Chapter 15 Information Theoretic Intent Disambiguation via Contextual Nudges for Assistive Shared Control
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    Chapter 16 The Limits of Learning and Planning: Minimal Sufficient Information Transition Systems
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    Chapter 17 Towards a Framework for Comparing the Complexity of Robotic Tasks
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    Chapter 18 Exponential Convergence of Infeasibility Proofs for Kinematic Motion Planning
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    Chapter 19 Lane-Level Route Planning for Autonomous Vehicles
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    Chapter 20 Finding and Optimizing Certified, Collision-Free Regions in Configuration Space for Robot Manipulators
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    Chapter 22 Implicit Multiagent Coordination at Uncontrolled Intersections via Topological Braids
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    Chapter 23 Active Uncertainty Reduction for Human-Robot Interaction: An Implicit Dual Control Approach
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    Chapter 24 The Correlated Arc Orienteering Problem
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    Chapter 25 Sample-Efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions
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    Chapter 26 Morse Graphs: Topological Tools for Analyzing the Global Dynamics of Robot Controllers
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    Chapter 27 Flock Navigation by Coordinated Shepherds via Reinforcement Learning
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    Chapter 28 Automatic Cross-domain Task Plan Transfer by Caching Abstract Skills
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    Chapter 29 GOMP-ST: Grasp Optimized Motion Planning for Suction Transport
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    Chapter 31 GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model
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    Chapter 32 A Lower Bounding Framework for Motion Planning Amid Dynamic Obstacles in 2D
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Title
Algorithmic Foundations of Robotics XV
Published by
Springer International Publishing, December 2022
DOI 10.1007/978-3-031-21090-7
ISBNs
978-3-03-121089-1, 978-3-03-121090-7
Editors

LaValle, Steven M., O’Kane, Jason M., Otte, Michael, Sadigh, Dorsa, Tokekar, Pratap

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