Image de couverture de livre

Coverage Path Planning for Thermal Interface Materials

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Baeuerle, Simon, Steimer, Andreas, Mikut, Ralf
Format:	Preprint
Publié:	2024
Sujets:	Systems and Control Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Rapid Flow Behavior Modeling of Thermal Interface Materials Using Deep Neural Networks
par: Baeuerle, Simon, et autres
Publié: (2022)

Rapid AI-based generation of coverage paths for dispensing applications
par: Baeuerle, Simon, et autres
Publié: (2025)

Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning
par: Jonnarth, Arvi, et autres
Publié: (2024)

Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning
par: Theile, Mirco, et autres
Publié: (2025)

Generating peak-aware pseudo-measurements for low-voltage feeders using metadata of distribution system operators
par: Treutlein, Manuel, et autres
Publié: (2024)

Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning
par: Jonnarth, Arvi, et autres
Publié: (2023)

Thermal-GEMs: Generalized Models for Building Thermal Dynamics
par: Koch, Felix, et autres
Publié: (2026)

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

Autonomous Payload Thermal Control
par: Mousist, Alejandro D.
Publié: (2023)

Path-Based Quantum Meta-Learning for Adaptive Optimization of Reconfigurable Intelligent Surfaces
par: Hassan, Noha, et autres
Publié: (2026)

Inverse Reinforcement Learning for Minimum-Exposure Paths in Spatiotemporally Varying Scalar Fields
par: Ballentine, Alexandra E., et autres
Publié: (2025)

Fault Detection in Solar Thermal Systems using Probabilistic Reconstructions
par: Ebmeier, Florian, et autres
Publié: (2025)

Randomized Transport Plans via Hierarchical Fully Probabilistic Design
par: Y., Sarah Boufelja, et autres
Publié: (2024)

BUILDA: A Thermal Building Data Generation Framework for Transfer Learning
par: Krug, Thomas, et autres
Publié: (2025)

GenTL: A General Transfer Learning Model for Building Thermal Dynamics
par: Raisch, Fabian, et autres
Publié: (2025)

Estimation Sample Complexity of a Class of Nonlinear Continuous-time Systems
par: Kuang, Simon, et autres
Publié: (2023)

RadioDiff-$k^2$: Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction
par: Wang, Xiucheng, et autres
Publié: (2025)

Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context
par: Xu, Jianyu, et autres
Publié: (2024)

Physics-based Digital Twins for Integrated Thermal Energy Systems Using Active Learning
par: Nabila, Umme Mahbuba, et autres
Publié: (2026)

BuilDyn: Excitation-Driven Data Generation for Building Thermal Dynamics Modeling and Control
par: Koch, Felix, et autres
Publié: (2026)

Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach
par: Brenner, Aron, et autres
Publié: (2024)

Imitation-regularized Optimal Transport on Networks: Provable Robustness and Application to Logistics Planning
par: Oishi, Koshi, et autres
Publié: (2024)

Risk-Aware Decision Making in Restless Bandits: Theory and Algorithms for Planning and Learning
par: Akbarzadeh, Nima, et autres
Publié: (2024)

Coordinating Planning and Tracking in Layered Control Policies via Actor-Critic Learning
par: Yang, Fengjun, et autres
Publié: (2024)

Structural Constraints for Physics-augmented Learning
par: Kuang, Simon, et autres
Publié: (2024)

One Model to Forecast Them All and in Entity Distributions Bind Them
par: Bölat, Kutay, et autres
Publié: (2025)

Assumed Density Filtering and Smoothing with Neural Network Surrogate Models
par: Kuang, Simon, et autres
Publié: (2025)

Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning
par: Hu, Yi, et autres
Publié: (2023)

Gradient-Based Data Valuation Improves Curriculum Learning for Game-Theoretic Motion Planning
par: Li, Shihao, et autres
Publié: (2026)

Recurrent Auto-Encoders for Enhanced Deep Reinforcement Learning in Wilderness Search and Rescue Planning
par: Ewers, Jan-Hendrik, et autres
Publié: (2025)

Interactive Trajectory Planning with Learning-based Distributionally Robust Model Predictive Control and Markov Systems
par: Börve, Erik, et autres
Publié: (2026)

An XAI framework for robust and transparent data-driven wind turbine power curve models
par: Letzgus, Simon, et autres
Publié: (2023)

Data-Driven Motion Planning for Uncertain Nonlinear Systems
par: Esmaeili, Babak, et autres
Publié: (2025)

Adapting to Change: A Comparison of Continual and Transfer Learning for Modeling Building Thermal Dynamics under Concept Drifts
par: Raisch, Fabian, et autres
Publié: (2025)

A Highly Configurable Framework for Large-Scale Thermal Building Data Generation to drive Machine Learning Research
par: Krug, Thomas, et autres
Publié: (2025)

Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees
par: Nath, Devesh, et autres
Publié: (2026)

Reservoir Predictive Path Integral Control for Unknown Nonlinear Dynamics
par: Inoue, Daisuke, et autres
Publié: (2025)

Mapping High-Performance Regions in Battery Scheduling across Data Uncertainty, Battery Design, and Planning Horizons
par: Rodriguez, Jaime de Miguel, et autres
Publié: (2026)

Cross-fitted Proximal Learning for Model-Based Reinforcement Learning
par: Venkatesh, Nishanth, et autres
Publié: (2026)

SAFE--MA--RRT: Multi-Agent Motion Planning with Data-Driven Safety Certificates
par: Esmaeili, Babak, et autres
Publié: (2025)