Image de couverture de livre

Chance-constrained Linear Quadratic Gaussian Games for Multi-robot Interaction under Uncertainty

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ren, Kai, Salizzoni, Giulio, Gürsoy, Mustafa Emre, Kamgarpour, Maryam
Format:	Preprint
Publié:	2025
Sujets:	Robotics Systems and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Identifying Time-varying Costs in Finite-horizon Linear Quadratic Gaussian Games
par: Ren, Kai, et autres
Publié: (2025)

Bridging Finite and Infinite-Horizon Nash Equilibria in Linear Quadratic Games
par: Salizzoni, Giulio, et autres
Publié: (2025)

Chance-Constrained Trajectory Planning with Multimodal Environmental Uncertainty
par: Ren, Kai, et autres
Publié: (2025)

A Policy Iteration Algorithm for N-player General-Sum Linear Quadratic Dynamic Games
par: Guan, Yuxiang, et autres
Publié: (2024)

Recursively Feasible Chance-constrained Model Predictive Control under Gaussian Mixture Model Uncertainty
par: Ren, Kai, et autres
Publié: (2024)

On Linear Quadratic Potential Games
par: Hosseinirad, Sara, et autres
Publié: (2023)

Distributed Linear Quadratic Gaussian for Multi-Robot Coordination with Localization Uncertainty
par: Tasooji, Tohid Kargar, et autres
Publié: (2025)

Event-Based Distributed Linear Quadratic Gaussian for Multi-Robot Coordination with Localization Uncertainty
par: Tasooji, Tohid Kargar, et autres
Publié: (2025)

Uncertainty and Autarky: Cooperative Game Theory for Stable Local Energy Market Partitioning
par: Vaishampayan, Saurabh, et autres
Publié: (2026)

Multi-Agent Learning in Contextual Games under Unknown Constraints
par: Maddux, Anna M., et autres
Publié: (2023)

CC-VPSTO: Chance-Constrained Via-Point-Based Stochastic Trajectory Optimisation for Online Robot Motion Planning under Uncertainty
par: Brudermüller, Lara, et autres
Publié: (2024)

A Robust Controller based on Gaussian Processes for Robotic Manipulators with Unknown Uncertainty
par: Giacomuzzo, Giulio, et autres
Publié: (2025)

Exact and Approximate Convex Reformulation of Linear Stochastic Optimal Control with Chance Constraints
par: Dokania, Tanmay, et autres
Publié: (2026)

Chance-Constrained Convex MPC for Robust Quadruped Locomotion Under Parametric and Additive Uncertainties
par: Trivedi, Ananya, et autres
Publié: (2024)

Nash equilibria in scalar discrete-time linear quadratic games
par: Salizzoni, Giulio, et autres
Publié: (2024)

Distributed Differentiable Dynamic Game for Multi-robot Coordination
par: Zhou, Yizhi, et autres
Publié: (2022)

Adaptive-Sliding Mode Trajectory Control of Robot Manipulators with Uncertainties
par: Mustafa, Mustafa M., et autres
Publié: (2024)

U-OBCA: Uncertainty-Aware Optimization-Based Collision Avoidance via Wasserstein Distributionally Robust Chance Constraints
par: Wang, Zehao, et autres
Publié: (2026)

Risk-Aware Rulebooks for Multi-Objective Trajectory Evaluation under Uncertainty
par: Wongpiromsarn, Tichakorn
Publié: (2026)

Adaptive Robust Controller for handling Unknown Uncertainty of Robotic Manipulators
par: Abdelwahab, Mohamed, et autres
Publié: (2024)

Quattro: Transformer-Accelerated Iterative Linear Quadratic Regulator Framework for Fast Trajectory Optimization
par: Wang, Yue, et autres
Publié: (2025)

Linear Quadratic Guidance Law for Joint Motion Planning of a Pursuer-Turret Assembly
par: Jha, Bhargav, et autres
Publié: (2024)

Characterizing Human Feedback-Based Control in Naturalistic Driving Interactions via Gaussian Process Regression with Linear Feedback
par: DiPirro, Rachel, et autres
Publié: (2025)

Context-aware Mamba-based Reinforcement Learning for social robot navigation
par: Mustafa, Syed Muhammad, et autres
Publié: (2024)

A novel seamless magnetic-based actuating mechanism for end-effector-based robotic rehabilitation platforms
par: Ghafoori, Sima, et autres
Publié: (2024)

Safe Zeroth-Order Optimization Using Quadratic Local Approximations
par: Guo, Baiwei, et autres
Publié: (2023)

Learning robot inverse dynamics using sparse online Gaussian process with forgetting mechanism
par: Li, Wei, et autres
Publié: (2022)

IEEEICM25: "A High-Performance Disturbance Observer"
par: Sariyildiz, Emre
Publié: (2025)

AMC26: High-performance DOb for robust position control
par: Sariyildiz, Emre
Publié: (2026)

AMC'24 "A Novel Stiffness Modulation Mechanism for Energy Efficient Variable Stiffness Actuators"
par: Emre, Sariyildiz
Publié: (2024)

Chance-Constrained Control for Safe Spacecraft Autonomy: Convex Programming Approach
par: Oguri, Kenshiro
Publié: (2024)

Model Predictive Control with Gaussian Processes for Flexible Multi-Modal Physical Human Robot Interaction
par: Haninger, Kevin, et autres
Publié: (2021)

Multi-robot Aerial Soft Manipulator For Floating Litter Collection
par: González-Morgado, Antonio, et autres
Publié: (2025)

Exhaustive-Serve-Longest Control for Multi-robot Scheduling Systems
par: Merati, Mohammad, et autres
Publié: (2025)

Enabling On-Chip High-Frequency Adaptive Linear Optimal Control via Linearized Gaussian Process
par: Gao, Yuan, et autres
Publié: (2024)

Chance-Constrained Sampling-Based MPC for Collision Avoidance in Uncertain Dynamic Environments
par: Mohamed, Ihab S., et autres
Publié: (2025)

Inverse Linear-Quadratic Gaussian Differential Games
par: Günther, Lucas, et autres
Publié: (2025)

Distributional Stability of Tangent-Linearized Gaussian Inference on Smooth Manifolds
par: Seo, Junghoon, et autres
Publié: (2026)

Motion Planning under Uncertainty: Integrating Learning-Based Multi-Modal Predictors into Branch Model Predictive Control
par: Bouzidi, Mohamed-Khalil, et autres
Publié: (2024)

Velocity Obstacle for Polytopic Collision Avoidance for Distributed Multi-robot Systems
par: Huang, Jihao, et autres
Publié: (2023)