Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control
Fuente:
arXiv
Saved in:
| Main Authors: | Amer, Abdelhakim, Felsager, David, Brodskiy, Yury, Sarabakha, Andriy |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SeaVis: Modeling and Control of a Remotely Operated Towed Vehicle for Seabed Visualization and Mapping
by: Amer, Abdelhakim, et al.
Published: (2026)
by: Amer, Abdelhakim, et al.
Published: (2026)
REACT: Real-time Entanglement-Aware Coverage Path Planning for Tethered Underwater Vehicles
by: Amer, Abdelhakim, et al.
Published: (2025)
by: Amer, Abdelhakim, et al.
Published: (2025)
On-board Sonar Data Classification for Path Following in Underwater Vehicles using Fast Interval Type-2 Fuzzy Extreme Learning Machine
by: Rubio-Solis, Adrian, et al.
Published: (2025)
by: Rubio-Solis, Adrian, et al.
Published: (2025)
KI-GAN: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized Intersections
by: Wei, Chuheng, et al.
Published: (2024)
by: Wei, Chuheng, et al.
Published: (2024)
Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelines
by: Alvarez-Tunon, Olaya, et al.
Published: (2025)
by: Alvarez-Tunon, Olaya, et al.
Published: (2025)
PLM-Net: Perception Latency Mitigation Network for Vision-Based Lateral Control of Autonomous Vehicles
by: Khalil, Aws, et al.
Published: (2024)
by: Khalil, Aws, et al.
Published: (2024)
Spiking Neural Networks for Continuous Control via End-to-End Model-Based Learning
by: Huebotter, Justus, et al.
Published: (2025)
by: Huebotter, Justus, et al.
Published: (2025)
Robot Navigation with Entity-Based Collision Avoidance using Deep Reinforcement Learning
by: Kolomeytsev, Yury, et al.
Published: (2024)
by: Kolomeytsev, Yury, et al.
Published: (2024)
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation
by: Gupta, Piyush, et al.
Published: (2024)
by: Gupta, Piyush, et al.
Published: (2024)
Learning An Active Inference Model of Driver Perception and Control: Application to Vehicle Car-Following
by: Wei, Ran, et al.
Published: (2023)
by: Wei, Ran, et al.
Published: (2023)
PhyPlan: Generalizable and Rapid Physical Task Planning with Physics Informed Skill Networks for Robot Manipulators
by: Chopra, Mudit, et al.
Published: (2024)
by: Chopra, Mudit, et al.
Published: (2024)
Population-Coded Spiking Neural Networks for High-Dimensional Robotic Control
by: Jaisankar, Kanishkha, et al.
Published: (2025)
by: Jaisankar, Kanishkha, et al.
Published: (2025)
Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems
by: Feng, Shaodi, et al.
Published: (2025)
by: Feng, Shaodi, et al.
Published: (2025)
Physics-Informed Neural Controlled Differential Equations for Scalable Long Horizon Multi-Agent Motion Forecasting
by: Sural, Shounak, et al.
Published: (2025)
by: Sural, Shounak, et al.
Published: (2025)
Real-Time Performance Analysis of Multi-Fidelity Residual Physics-Informed Neural Process-Based State Estimation for Robotic Systems
by: Hunter, Devin, et al.
Published: (2025)
by: Hunter, Devin, et al.
Published: (2025)
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making
by: Wan, Hanxi, et al.
Published: (2024)
by: Wan, Hanxi, et al.
Published: (2024)
Task-specific Subnetwork Discovery in Reinforcement Learning for Autonomous Underwater Navigation
by: Liu, Yi-Ling, et al.
Published: (2026)
by: Liu, Yi-Ling, et al.
Published: (2026)
Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Constrained Neural Network for Autonomous Racing
by: Chrosniak, John, et al.
Published: (2023)
by: Chrosniak, John, et al.
Published: (2023)
Hybrid Motion Planning with Deep Reinforcement Learning for Mobile Robot Navigation
by: Kolomeytsev, Yury, et al.
Published: (2025)
by: Kolomeytsev, Yury, et al.
Published: (2025)
PiDR: Physics-Informed Inertial Dead Reckoning for Autonomous Platforms
by: Sahoo, Arup Kumar, et al.
Published: (2026)
by: Sahoo, Arup Kumar, et al.
Published: (2026)
Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics
by: Li, Chenhao, et al.
Published: (2025)
by: Li, Chenhao, et al.
Published: (2025)
Enhancing Autonomous Vehicle Training with Language Model Integration and Critical Scenario Generation
by: Tian, Hanlin, et al.
Published: (2024)
by: Tian, Hanlin, et al.
Published: (2024)
Memory-Consistent Neural Networks for Imitation Learning
by: Sridhar, Kaustubh, et al.
Published: (2023)
by: Sridhar, Kaustubh, et al.
Published: (2023)
Learning to Insert for Constructive Neural Vehicle Routing Solver
by: Luo, Fu, et al.
Published: (2025)
by: Luo, Fu, et al.
Published: (2025)
A Comprehensive Survey on Physical Risk Control in the Era of Foundation Model-enabled Robotics
by: Kojima, Takeshi, et al.
Published: (2025)
by: Kojima, Takeshi, et al.
Published: (2025)
Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI
by: Shu, Bo, et al.
Published: (2024)
by: Shu, Bo, et al.
Published: (2024)
Learning to Segment for Vehicle Routing Problems
by: Ouyang, Wenbin, et al.
Published: (2025)
by: Ouyang, Wenbin, et al.
Published: (2025)
Learning to Drive by Imitating Surrounding Vehicles
by: Sonmez, Yasin, et al.
Published: (2025)
by: Sonmez, Yasin, et al.
Published: (2025)
A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control
by: Zarrouki, Baha, et al.
Published: (2024)
by: Zarrouki, Baha, et al.
Published: (2024)
Loss Function Considering Dead Zone for Neural Networks
by: Inami, Koki, et al.
Published: (2024)
by: Inami, Koki, et al.
Published: (2024)
Distributionally Robust Statistical Verification with Imprecise Neural Networks
by: Dutta, Souradeep, et al.
Published: (2023)
by: Dutta, Souradeep, et al.
Published: (2023)
VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning
by: Cheng, Ming, et al.
Published: (2024)
by: Cheng, Ming, et al.
Published: (2024)
Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking
by: Chang, Kevin, et al.
Published: (2025)
by: Chang, Kevin, et al.
Published: (2025)
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution
by: Seyde, Tim, et al.
Published: (2024)
by: Seyde, Tim, et al.
Published: (2024)
Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning
by: Bozkurt, Alper Kamil, et al.
Published: (2019)
by: Bozkurt, Alper Kamil, et al.
Published: (2019)
Learning Inverse Kinodynamics for Autonomous Vehicle Drifting
by: Suvarna, M., et al.
Published: (2024)
by: Suvarna, M., et al.
Published: (2024)
DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation
by: Wang, Tianyi, et al.
Published: (2026)
by: Wang, Tianyi, et al.
Published: (2026)
GSAVS: Gaussian Splatting-based Autonomous Vehicle Simulator
by: Wilson, Rami
Published: (2024)
by: Wilson, Rami
Published: (2024)
Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity
by: Abuduweili, Abulikemu, et al.
Published: (2024)
by: Abuduweili, Abulikemu, et al.
Published: (2024)
Imitation Learning Inputting Image Feature to Each Layer of Neural Network
by: Yamane, Koki, et al.
Published: (2024)
by: Yamane, Koki, et al.
Published: (2024)
Similar Items
-
SeaVis: Modeling and Control of a Remotely Operated Towed Vehicle for Seabed Visualization and Mapping
by: Amer, Abdelhakim, et al.
Published: (2026) -
REACT: Real-time Entanglement-Aware Coverage Path Planning for Tethered Underwater Vehicles
by: Amer, Abdelhakim, et al.
Published: (2025) -
On-board Sonar Data Classification for Path Following in Underwater Vehicles using Fast Interval Type-2 Fuzzy Extreme Learning Machine
by: Rubio-Solis, Adrian, et al.
Published: (2025) -
KI-GAN: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized Intersections
by: Wei, Chuheng, et al.
Published: (2024) -
Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelines
by: Alvarez-Tunon, Olaya, et al.
Published: (2025)