Cover Image

Data-Driven Motion Planning for Uncertain Nonlinear Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Esmaeili, Babak, Modares, Hamidreza, Di Cairano, Stefano
Format:	Preprint
Published:	2025
Subjects:	Systems and Control Machine Learning Robotics Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SAFE--MA--RRT: Multi-Agent Motion Planning with Data-Driven Safety Certificates
by: Esmaeili, Babak, et al.
Published: (2025)

Risk-Aware Safe Reinforcement Learning for Control of Stochastic Linear Systems
by: Esmaeili, Babak, et al.
Published: (2025)

Direct Data Driven Control Using Noisy Measurements
by: Esmzad, Ramin, et al.
Published: (2025)

Direct Data-Driven Discounted Infinite Horizon Linear Quadratic Regulator with Robustness Guarantees
by: Esmzad, Ramin, et al.
Published: (2024)

Score Matching Diffusion Based Feedback Control and Planning of Nonlinear Systems
by: Elamvazhuthi, Karthik, et al.
Published: (2025)

Projection-free computation of robust controllable sets with constrained zonotopes
by: Vinod, Abraham P., et al.
Published: (2024)

System-level Safety Guard: Safe Tracking Control through Uncertain Neural Network Dynamics Models
by: Li, Xiao, et al.
Published: (2023)

Denoising Diffusion-Based Control of Nonlinear Systems
by: Elamvazhuthi, Karthik, et al.
Published: (2024)

Trajectory-Oriented Control Using Gradient Descent: An Unconventional Approach
by: Esmzad, Ramin, et al.
Published: (2024)

Iterative Tuning of Nonlinear Model Predictive Control for Robotic Manufacturing Tasks
by: Ingole, Deepak, et al.
Published: (2025)

Formal Safety Verification and Refinement for Generative Motion Planners via Certified Local Stabilization
by: Nath, Devesh, et al.
Published: (2025)

Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview
by: Tsukamoto, Hiroyasu, et al.
Published: (2021)

Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis
by: Srinivasan, Anutam, et al.
Published: (2026)

Safe Guaranteed Exploration for Non-linear Systems
by: Prajapat, Manish, et al.
Published: (2024)

On Convex Data-Driven Inverse Optimal Control for Nonlinear, Non-stationary and Stochastic Systems
by: Garrabe, Emiland, et al.
Published: (2023)

Probabilistic Safety Guarantee for Stochastic Control Systems Using Average Reward MDPs
by: Omidi, Saber, et al.
Published: (2025)

Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees
by: Nath, Devesh, et al.
Published: (2026)

Nonlinear Robust Optimization for Planning and Control
by: Abdul, Arshiya Taj, et al.
Published: (2025)

Natural Gradient Descent for Control
by: Esmzad, Ramin, et al.
Published: (2025)

Unifying Entropy Regularization in Optimal Control: From and Back to Classical Objectives via Iterated Soft Policies and Path Integral Solutions
by: Bhole, Ajinkya, et al.
Published: (2025)

Multi-Step Deep Koopman Network (MDK-Net) for Vehicle Control in Frenet Frame
by: Abtahi, Mohammad, et al.
Published: (2025)

Scalable Verification of Neural Control Barrier Functions Using Linear Bound Propagation
by: Vertovec, Nikolaus, et al.
Published: (2025)

Diffusion Policies for Generative Modeling of Spacecraft Trajectories
by: Briden, Julia, et al.
Published: (2025)

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance
by: Briden, Julia, et al.
Published: (2025)

Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions
by: Long, Kehan, et al.
Published: (2025)

Introduction to Online Control
by: Hazan, Elad, et al.
Published: (2022)

MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control
by: Lu, Yiwen, et al.
Published: (2023)

Convex Hulls of Reachable Sets
by: Lew, Thomas, et al.
Published: (2023)

Compositional Diffusion Models for Powered Descent Trajectory Generation with Flexible Constraints
by: Briden, Julia, et al.
Published: (2024)

Online Control-Informed Learning
by: Liang, Zihao, et al.
Published: (2024)

FORESEE: Prediction with Expansion-Compression Unscented Transform for Online Policy Optimization
by: Parwana, Hardik, et al.
Published: (2022)

Model Predictive Path Integral PID Control for Learning-Based Path Following
by: Kato, Teruki, et al.
Published: (2026)

Distributionally Robust Policy and Lyapunov-Certificate Learning
by: Long, Kehan, et al.
Published: (2024)

Kernel-Based Optimal Control: An Infinitesimal Generator Approach
by: Bevanda, Petar, et al.
Published: (2024)

Model-Based Diffusion for Trajectory Optimization
by: Pan, Chaoyi, et al.
Published: (2024)

Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation
by: Hu, Hanjiang, et al.
Published: (2024)

ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers
by: Ferlez, James, et al.
Published: (2020)

Parallel Differentiable Reachability for Learning and Planning with Certified Neural Dynamics and Controllers
by: Shen, Keyi, et al.
Published: (2026)

Constraint-Generation Policy Optimization (CGPO): Nonlinear Programming for Policy Optimization in Mixed Discrete-Continuous MDPs
by: Gimelfarb, Michael, et al.
Published: (2024)

Equivariant Deep Learning of Mixed-Integer Optimal Control Solutions for Vehicle Decision Making and Motion Planning
by: Reiter, Rudolf, et al.
Published: (2024)