Buchumschlag

Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Stölzle, Maximilian, Della Santina, Cosimo
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Robotics Artificial Intelligence Machine Learning Systems and Control
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Symbolic Learning of Interpretable Reduced-Order Models for Jumping Quadruped Robots
von: Buriani, Gioele, et al.
Veröffentlicht: (2025)

Learning Low-Dimensional Strain Models of Soft Robots by Looking at the Evolution of Their Shape with Application to Model-Based Control
von: Valadas, Ricardo, et al.
Veröffentlicht: (2024)

Guiding Soft Robots with Motor-Imagery Brain Signals and Impedance Control
von: Stölzle, Maximilian, et al.
Veröffentlicht: (2024)

Contact-Aware Safety in Soft Robots Using High-Order Control Barrier and Lyapunov Functions
von: Wong, Kiwan, et al.
Veröffentlicht: (2025)

An Experimental Study of Model-based Control for Planar Handed Shearing Auxetics Robots
von: Stölzle, Maximilian, et al.
Veröffentlicht: (2023)

TamedPUMA: safe and stable imitation learning with geometric fabrics
von: Bakker, Saray, et al.
Veröffentlicht: (2025)

Scaling Learning based Policy Optimization for Temporal Logic Tasks by Controller Network Dropout
von: Hashemi, Navid, et al.
Veröffentlicht: (2024)

Infinite-Dimensional Closed-Loop Inverse Kinematics for Soft Robots via Neural Operators
von: Veil, Carina, et al.
Veröffentlicht: (2026)

Receding Hamiltonian-Informed Optimal Neural Control and State Estimation for Closed-Loop Dynamical Systems
von: Rivera, Josue N., et al.
Veröffentlicht: (2024)

Control-ITRA: Controlling the Behavior of a Driving Model
von: Lioutas, Vasileios, et al.
Veröffentlicht: (2025)

Learning a Stable, Safe, Distributed Feedback Controller for a Heterogeneous Platoon of Autonomous Vehicles
von: Shaham, Michael H., et al.
Veröffentlicht: (2024)

Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation
von: Yang, Lujie, et al.
Veröffentlicht: (2024)

Latent World Models for Automated Driving: A Unified Taxonomy, Evaluation Framework, and Open Challenges
von: Zeng, Rongxiang, et al.
Veröffentlicht: (2026)

A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control
von: Zarrouki, Baha, et al.
Veröffentlicht: (2024)

Decision Transformer as a Foundation Model for Partially Observable Continuous Control
von: Zhang, Xiangyuan, et al.
Veröffentlicht: (2024)

Shape-Interpretable Visual Self-Modeling Enables Geometry-Aware Continuum Robot Control
von: Yu, Peng, et al.
Veröffentlicht: (2026)

Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space
von: Golchoubian, Mahsa, et al.
Veröffentlicht: (2024)

COMponent-Aware Pruning for Accelerated Control Tasks in Latent Space Models
von: Sundaram, Ganesh, et al.
Veröffentlicht: (2025)

Autonomous UAV Flight Navigation in Confined Spaces: A Reinforcement Learning Approach
von: Tayar, Marco S., et al.
Veröffentlicht: (2025)

Learning Force Control for Legged Manipulation
von: Portela, Tifanny, et al.
Veröffentlicht: (2024)

Permissive Safety Through Trusted Inference: Verifiable Belief-Space Neural Safety Filters for Assured Interactive Robotics
von: Hu, Haimin
Veröffentlicht: (2026)

DexterityGen: Foundation Controller for Unprecedented Dexterity
von: Yin, Zhao-Heng, et al.
Veröffentlicht: (2025)

Model Predictive Wave Disturbance Rejection for Underwater Soft Robotic Manipulators
von: Walker, Kyle L., et al.
Veröffentlicht: (2024)

Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control
von: Shi, Zhouxing, et al.
Veröffentlicht: (2024)

Learning Control Barrier Functions and their application in Reinforcement Learning: A Survey
von: Guerrier, Maeva, et al.
Veröffentlicht: (2024)

Optimal Control-Based Baseline for Guided Exploration in Policy Gradient Methods
von: Lyu, Xubo, et al.
Veröffentlicht: (2020)

Stable-by-Design Neural Network-Based LPV State-Space Models for System Identification
von: Sertbaş, Ahmet Eren, et al.
Veröffentlicht: (2025)

Robust Recovery Controller for a Quadrupedal Robot using Deep Reinforcement Learning
von: Lee, Joonho, et al.
Veröffentlicht: (2019)

Adaptive Torque Control of Exoskeletons under Spasticity Conditions via Reinforcement Learning
von: Chavarrías, Andrés, et al.
Veröffentlicht: (2025)

CBF-RL: Safety Filtering Reinforcement Learning in Training with Control Barrier Functions
von: Yang, Lizhi, et al.
Veröffentlicht: (2025)

Constrained Control for Autonomous Spacecraft Rendezvous: Learning-Based Time Shift Governor
von: Kim, Taehyeun, et al.
Veröffentlicht: (2024)

MSACL: Multi-Step Actor-Critic Learning with Lyapunov Certificates for Exponentially Stabilizing Control
von: Zhang, Yongwei, et al.
Veröffentlicht: (2025)

Statistically Assuring Safety of Control Systems using Ensembles of Safety Filters and Conformal Prediction
von: Tabbara, Ihab, et al.
Veröffentlicht: (2025)

Real Time Control of Tandem-Wing Experimental Platform Using Concerto Reinforcement Learning
von: Minghao, Zhang, et al.
Veröffentlicht: (2025)

Reachable Polyhedral Marching (RPM): An Exact Analysis Tool for Deep-Learned Control Systems
von: Vincent, Joseph A., et al.
Veröffentlicht: (2022)

Deep Reinforcement Learning for Advanced Longitudinal Control and Collision Avoidance in High-Risk Driving Scenarios
von: Chen, Dianwei, et al.
Veröffentlicht: (2024)

Learning to Tune Pure Pursuit in Autonomous Racing: Joint Lookahead and Steering-Gain Control with PPO
von: Elgouhary, Mohamed, et al.
Veröffentlicht: (2026)

An Integrated Imitation and Reinforcement Learning Methodology for Robust Agile Aircraft Control with Limited Pilot Demonstration Data
von: Sever, Gulay Goktas, et al.
Veröffentlicht: (2023)

Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers
von: Vasan, Gautham, et al.
Veröffentlicht: (2024)

Digital Twin Synchronization: Bridging the Sim-RL Agent to a Real-Time Robotic Additive Manufacturing Control
von: Ali, Matsive, et al.
Veröffentlicht: (2025)