Image de couverture de livre

EnKode: Active Learning of Unknown Flows with Koopman Operators

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Alice Kate, Silva, Thales C., Hsieh, M. Ani
Format:	Preprint
Publié:	2024
Sujets:	Robotics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

KoopMotion: Learning Almost Divergence Free Koopman Flow Fields for Motion Planning
par: Li, Alice Kate, et autres
Publié: (2025)

Communication-Constrained Multi-Robot Exploration with Intermittent Rendezvous
par: da Silva, Alysson Ribeiro, et autres
Publié: (2023)

Mind the Gaps: Multi-Robot Feedback-Driven Ergodic Coverage in Unknown Environments
par: Silva, Thales Costa, et autres
Publié: (2026)

Koopman Operators in Robot Learning
par: Shi, Lu, et autres
Publié: (2024)

Learning to Swarm with Knowledge-Based Neural Ordinary Differential Equations
par: Jiahao, Tom Z., et autres
Publié: (2021)

Scaling Law of Neural Koopman Operators
par: Abuduweili, Abulikemu, et autres
Publié: (2026)

Multi-robot Multi-source Localization in Complex Flows with Physics-Preserving Environment Models
par: Shaffer, Benjamin, et autres
Publié: (2025)

Online Adaptation for Flying Quadrotors in Tight Formations
par: Hsieh, Pei-An, et autres
Publié: (2025)

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

Air-Ground Collaboration for Language-Specified Missions in Unknown Environments
par: Cladera, Fernando, et autres
Publié: (2025)

Local Input-to-State Stability for Consensus in the Presence of Intermittent Communication and Input Saturation
par: Silva, Thales C., et autres
Publié: (2026)

KALIKO: Kalman-Implicit Koopman Operator Learning For Prediction of Nonlinear Dynamical Systems
par: Li, Albert H., et autres
Publié: (2025)

KoopmanFlow: Spectrally Decoupled Generative Control Policy via Koopman Structural Bias
par: Yao, Chengsi, et autres
Publié: (2026)

KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation
par: Chen, Hongyi, et autres
Publié: (2024)

Digital Twins Meet the Koopman Operator: Data-Driven Learning for Robust Autonomy
par: Samak, Chinmay Vilas, et autres
Publié: (2024)

ASACK : Adaptive Safe Active Continual Koopman Learning for Uncertain Systems with Contractive Guarantees
par: Sah, Chandan Kumar, et autres
Publié: (2026)

TOPPQuad: Dynamically-Feasible Time Optimal Path Parametrization for Quadrotors
par: Mao, Katherine, et autres
Publié: (2023)

Collision-free time-optimal path parameterization for multi-robot teams
par: Mao, Katherine, et autres
Publié: (2024)

Knowledge-based Neural Ordinary Differential Equations for Cosserat Rod-based Soft Robots
par: Jiahao, Tom Z., et autres
Publié: (2024)

Anisotropic Diffusion-Driven Ergodic Coverage in Multi-Robot Systems
par: Silva, Thales C., et autres
Publié: (2026)

Koopman Operator Based Linear Model Predictive Control for Quadruped Trotting
par: Yang, Chun-Ming, et autres
Publié: (2025)

Online Learning-Enhanced High Order Adaptive Safety Control
par: Pan, Lishuo, et autres
Publié: (2025)

Active Contact Engagement for Aerial Navigation in Unknown Environments with Glass
par: Chen, Xinyi, et autres
Publié: (2025)

Stackelberg Game-Theoretic Trajectory Guidance for Multi-Robot Systems with Koopman Operator
par: Zhao, Yuhan, et autres
Publié: (2023)

Physics-informed Split Koopman Operators for Data-efficient Soft Robotic Simulation
par: Ristich, Eron, et autres
Publié: (2025)

Data-Driven Optimal Control of Tethered Space Robot Deployment with Learning Based Koopman Operator
par: Jin, Ao, et autres
Publié: (2023)

Going with the Flow: Koopman Behavioral Models as Implicit Planners for Visuo-Motor Dexterity
par: Han, Yunhai, et autres
Publié: (2026)

Safe Navigation of Bipedal Robots via Koopman Operator-Based Model Predictive Control
par: Kim, Jeonghwan, et autres
Publié: (2024)

Modeling and Control of a Pneumatic Soft Robotic Catheter Using Neural Koopman Operators
par: Yue, Yiyao, et autres
Publié: (2026)

Safe Navigation in Dynamic Environments Using Data-Driven Koopman Operators and Conformal Prediction
par: Liang, Kaier, et autres
Publié: (2025)

KoopCast: Trajectory Forecasting via Koopman Operators
par: Lee, Jungjin, et autres
Publié: (2025)

MA-SLAM: Active SLAM in Large-Scale Unknown Environment using Map Aware Deep Reinforcement Learning
par: Yin, Yizhen, et autres
Publié: (2025)

Sequence Modeling for Time-Optimal Quadrotor Trajectory Optimization with Sampling-based Robustness Analysis
par: Mao, Katherine, et autres
Publié: (2025)

Continual Learning and Lifting of Koopman Dynamics for Linear Control of Legged Robots
par: Li, Feihan, et autres
Publié: (2024)

Deep Robust Koopman Learning from Noisy Data
par: Singh, Aditya, et autres
Publié: (2026)

Semi-Supervised Active Learning for Semantic Segmentation in Unknown Environments Using Informative Path Planning
par: Rückin, Julius, et autres
Publié: (2023)

Uncertainty-bounded Active Monitoring of Unknown Dynamic Targets in Road-networks with Minimum Fleet
par: Wang, Shuaikang, et autres
Publié: (2023)

Challenges and Opportunities for Large-Scale Exploration with Air-Ground Teams using Semantics
par: Cladera, Fernando, et autres
Publié: (2024)

EvMAPPER: High Altitude Orthomapping with Event Cameras
par: Cladera, Fernando, et autres
Publié: (2024)

Koopman Operator Based Linear Model Predictive Control for 2D Quadruped Trotting, Bounding, and Gait Transition
par: Yang, Chun-Ming, et autres
Publié: (2025)