Cover Image

Physical spline for denoising object trajectory data by combining splines, ML feature regression and model knowledge

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Torzewski, Jonas
Format:	Preprint
Published:	2025
Subjects:	Systems and Control Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Design of UAV flight state recognition and trajectory prediction system based on trajectory feature construction
by: Zhou, Xingyu, et al.
Published: (2024)

Non-parametric B-spline decoupling of multivariate functions
by: De Jonghe, Joppe, et al.
Published: (2025)

SemML: Enhancing Automata-Theoretic LTL Synthesis with Machine Learning
by: Kretinsky, Jan, et al.
Published: (2025)

Automated Validation of Textual Constraints Against AutomationML via LLMs and SHACL
by: Westermann, Tom, et al.
Published: (2025)

KAPPS: A knowledge-based CPPS Architecture for the Circular Factory
by: Hoffmann, Etienne, et al.
Published: (2026)

Synthetic data generation for system identification: leveraging knowledge transfer from similar systems
by: Piga, Dario, et al.
Published: (2024)

Smooth trajectory generation and hybrid B-splines-Quaternions based tool path interpolation for a 3T1R parallel kinematic milling robot
by: Akhbari, Sina, et al.
Published: (2026)

Guided Safe Shooting: model based reinforcement learning with safety constraints
by: Paolo, Giuseppe, et al.
Published: (2022)

A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration
by: Naug, Avisek, et al.
Published: (2024)

Dynamic one-time delivery of critical data by small and sparse UAV swarms: a model problem for MARL scaling studies
by: Persson, Mika, et al.
Published: (2025)

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

Operational Wind Speed Forecasts for Chile's Electric Power Sector Using a Hybrid ML Model
by: Suri, Dhruv, et al.
Published: (2024)

Blackout Mitigation via Physics-guided RL
by: Dwivedi, Anmol, et al.
Published: (2024)

A TinyML Reinforcement Learning Approach for Energy-Efficient Light Control in Low-Cost Greenhouse Systems
by: Salem, Mohamed Abdallah, et al.
Published: (2025)

Physics-Informed Neural Networks for Nonlinear Output Regulation
by: Mengozzi, Sebastiano, et al.
Published: (2025)

LLM-Assisted Semantic Alignment and Integration in Collaborative Model-Based Systems Engineering Using SysML v2
by: Li, Zirui, et al.
Published: (2025)

KCLNet: Physics-Informed Power Flow Prediction via Constraints Projections
by: Dogoulis, Pantelis, et al.
Published: (2025)

Closed-loop multi-step planning with innate physics knowledge
by: Lafratta, Giulia, et al.
Published: (2024)

Mapping back and forth between model predictive control and neural networks
by: Drummond, Ross, et al.
Published: (2024)

Fast networked data selection via distributed smoothed quantile estimation
by: Zhang, Xu, et al.
Published: (2024)

BatteryAgent: Synergizing Physics-Informed Interpretation with LLM Reasoning for Intelligent Battery Fault Diagnosis
by: Zhou, Songqi, et al.
Published: (2025)

Exploring a Physics-Informed Decision Transformer for Distribution System Restoration: Methodology and Performance Analysis
by: Zhao, Hong, et al.
Published: (2024)

A phase-aware AI car-following model for electric vehicles with adaptive cruise control: Development and validation using real-world data
by: Liu, Yuhui, et al.
Published: (2025)

AI in a vat: Fundamental limits of efficient world modelling for agent sandboxing and interpretability
by: Rosas, Fernando, et al.
Published: (2025)

Data-driven modeling and supervisory control system optimization for plug-in hybrid electric vehicles
by: Zhang, Hao, et al.
Published: (2024)

Physics-Constrained Neural Dynamics: A Unified Manifold Framework for Large-Scale Power Flow Computation
by: Liu, Xuezhi
Published: (2025)

Coordinated Power Smoothing Control for Wind Storage Integrated System with Physics-informed Deep Reinforcement Learning
by: Wang, Shuyi, et al.
Published: (2024)

Efficient reformulations of ReLU deep neural networks for surrogate modelling in power system optimisation
by: Kumar, Yogesh Pipada Sunil, et al.
Published: (2026)

Optimal Power Grid Operations with Foundation Models
by: Puech, Alban, et al.
Published: (2024)

A Multi-Scale Attention-Based Attack Diagnosis Mechanism for Parallel Cyber-Physical Attacks in Power Grids
by: Ren, Junhao, et al.
Published: (2025)

Physically Analyzable AI-Based Nonlinear Platoon Dynamics Modeling During Traffic Oscillation: A Koopman Approach
by: Tian, Kexin, et al.
Published: (2024)

Perimeter Control with Heterogeneous Metering Rates for Cordon Signals: A Physics-Regularized Multi-Agent Reinforcement Learning Approach
by: Yu, Jiajie, et al.
Published: (2023)

CPS-LLM: Large Language Model based Safe Usage Plan Generator for Human-in-the-Loop Human-in-the-Plant Cyber-Physical System
by: Banerjee, Ayan, et al.
Published: (2024)

PhysiAgent: An Embodied Agent Framework in Physical World
by: Wang, Zhihao, et al.
Published: (2025)

Vision-aided UAV navigation and dynamic obstacle avoidance using gradient-based B-spline trajectory optimization
by: Xu, Zhefan, et al.
Published: (2022)

Neural Control Barrier Functions from Physics Informed Neural Networks
by: Agrawal, Shreenabh, et al.
Published: (2025)

Learning to Fly in Seconds
by: Eschmann, Jonas, et al.
Published: (2023)

A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems
by: Tayal, Manan, et al.
Published: (2025)

Fine-Tuning Hybrid Physics-Informed Neural Networks for Vehicle Dynamics Model Estimation
by: Fang, Shiming, et al.
Published: (2024)

Predicting and Publishing Accurate Imbalance Prices Using Monte Carlo Tree Search
by: Pavirani, Fabio, et al.
Published: (2024)