Image de couverture de livre

Online Intention Prediction via Control-Informed Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhou, Tianyu, Liang, Zihao, Lu, Zehui, Mou, Shaoshuai
Format:	Preprint
Publié:	2026
Sujets:	Robotics Machine Learning 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

Online Control-Informed Learning
par: Liang, Zihao, et autres
Publié: (2024)

Safe Online Control-Informed Learning
par: Zhou, Tianyu, et autres
Publié: (2025)

Adaptive Policy Learning to Additional Tasks
par: Hao, Wenjian, et autres
Publié: (2023)

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics
par: Hao, Wenjian, et autres
Publié: (2026)

Reward-Based Collision-Free Algorithm for Trajectory Planning of Autonomous Robots
par: Hoyos, Jose D., et autres
Publié: (2025)

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems
par: Hao, Wenjian, et autres
Publié: (2026)

Stabilizing Humanoid Robot Trajectory Generation via Physics-Informed Learning and Control-Informed Steering
par: D'Elia, Evelyn, et autres
Publié: (2025)

Distributed Optimization under Edge Agreement with Application in Battery Network Management
par: Lu, Zehui, et autres
Publié: (2024)

Trajectory Prediction via Bayesian Intention Inference under Unknown Goals and Kinematics
par: Yin, Shunan, et autres
Publié: (2025)

Safe and Near-Optimal Control with Online Dynamics Learning
par: Prajapat, Manish, et autres
Publié: (2025)

Introduction to Online Control
par: Hazan, Elad, et autres
Publié: (2022)

Learning for Layered Safety-Critical Control with Predictive Control Barrier Functions
par: Compton, William D., et autres
Publié: (2024)

Optimal Control of Nonlinear Systems with Unknown Dynamics
par: Hao, Wenjian, et autres
Publié: (2023)

Scalable Multi-modal Model Predictive Control via Duality-based Interaction Predictions
par: Kim, Hansung, et autres
Publié: (2024)

Learning and Online Replication of Grasp Forces from Electromyography Signals for Prosthetic Finger Control
par: Arbaud, Robin, et autres
Publié: (2025)

Control Pneumatic Soft Bending Actuator with Online Learning Pneumatic Physical Reservoir Computing
par: Shen, Junyi, et autres
Publié: (2025)

MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control
par: Lu, Yiwen, et autres
Publié: (2023)

Quasi-Periodic Gaussian Process Predictive Iterative Learning Control
par: Nigam, Unnati, et autres
Publié: (2026)

Viability-Preserving Passive Torque Control
par: Zhang, Zizhe, et autres
Publié: (2025)

AcL: Action Learner for Fault-Tolerant Quadruped Locomotion Control
par: Xu, Tianyu, et autres
Publié: (2025)

A Tutorial on Gaussian Process Learning-based Model Predictive Control
par: Wang, Jie, et autres
Publié: (2024)

Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning
par: Bøhn, Eivind, et autres
Publié: (2021)

Adaptive Model-Predictive Control of a Soft Continuum Robot Using a Physics-Informed Neural Network Based on Cosserat Rod Theory
par: Licher, Johann, et autres
Publié: (2025)

Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control
par: Saviolo, Alessandro, et autres
Publié: (2022)

Flying Quadrotors in Tight Formations using Learning-based Model Predictive Control
par: Chee, Kong Yao, et autres
Publié: (2024)

Diffusion Predictive Control with Constraints
par: Römer, Ralf, et autres
Publié: (2024)

Distributed Koopman Learning using Partial Trajectories for Control
par: Hao, Wenjian, et autres
Publié: (2024)

Collision Avoidance Verification of Multiagent Systems with Learned Policies
par: Dong, Zihao, et autres
Publié: (2024)

Model Predictive Path Integral PID Control for Learning-Based Path Following
par: Kato, Teruki, et autres
Publié: (2026)

FORESEE: Prediction with Expansion-Compression Unscented Transform for Online Policy Optimization
par: Parwana, Hardik, et autres
Publié: (2022)

Koopman Spectrum Nonlinear Regulators and Efficient Online Learning
par: Ohnishi, Motoya, et autres
Publié: (2021)

A Control-Barrier-Function-Based Algorithm for Policy Adaptation in Reinforcement Learning
par: Hao, Wenjian, et autres
Publié: (2025)

Behavioral Exploration: Learning to Explore via In-Context Adaptation
par: Wagenmaker, Andrew, et autres
Publié: (2025)

Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling
par: Clement, Mihaela-Larisa, et autres
Publié: (2026)

ReinVBC: A Model-based Reinforcement Learning Approach to Vehicle Braking Controller
par: Lin, Haoxin, et autres
Publié: (2026)

Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning
par: Guo, Qingyun, et autres
Publié: (2026)

PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain
par: Cai, Xiaoyi, et autres
Publié: (2024)

Real-time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning
par: Singhal, Aaryan, et autres
Publié: (2023)

Two-Stage Learning of Stabilizing Neural Controllers via Zubov Sampling and Iterative Domain Expansion
par: Li, Haoyu, et autres
Publié: (2025)

ORN-CBF: Learning Observation-conditioned Residual Neural Control Barrier Functions via Hypernetworks
par: Derajić, Bojan, et autres
Publié: (2025)