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Author:   Nancy M. Amato ,  Katie Driggs-Campbell ,  Chinwe Ekenna ,  Marco Morales
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032099662

ISBN 10:   3032099668
Pages:   480
Publication Date:   20 May 2026
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

Hybrid Declarative-Imperative Representations for Hybrid Discrete-Continuous Decision-Making.- Towards Practical Finite Sample Bounds for Motion Planning in TAMP. Fast and Certifiable Trajectory Optimization.- Multi-Query Shortest-Path Problem in Graphs of Convex Sets.- GCS*: Forward Heuristic Search on Implicit Graphs of Convex Sets.- Leveraging Fixed-Parameter Tractability for Robot Inspection Planning.- Topology-Driven Recovery Path Planning in Dynamic Obstacle Environments.- SPITE: Simple Polyhedral Intersection Techniques for Motion Planning in Modified Environments.- Quad-tree Based Collision Detection for Scalable Multi-Robot Motion Planning.- Theory and Explicit Design of a Path Planner for an SE(3) Robot.- Geodesic turnpikes for robot motion planning.- Inverse Risk-sensitive Multi-Robot Task Allocation.- Tractability Frontiers in Multi-Robot Coordination and Geometric Reconfiguration. Group-Control Motion Planning Framework for Microrobot Swarms in a Global Field.- Anticipating Oblivious Opponents in Stochastic Games.- Auto-Encoding Bayesian Inverse Games.- Online state vector reduction during model predictive control with gradient-based trajectory optimisation.- From Pixels to Torques with Linear Feedback.- Interaction-aware Conformal Prediction for Crowd Navigation.- RAnGE: Reachability Analysis for Guaranteed Ergodicity.- Reparametrization of 3D CSC Dubins' Paths Enabling 2D Search.- Equivariant Action Sampling for Reinforcement Learning and Planning.- MAGICS: Adversarial RL with Minimax Actors Guided by Implicit Critic Stackelberg for Convergent Neural Synthesis of Robot Safety.

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