Copertina

MIXPINN: Mixed-Material Simulations by Physics-Informed Neural Network

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yuan, Xintian, Ao, Yunke, Chen, Boqi, Fuernstahl, Philipp
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Robotics Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Physics-Informed Neural Network Approach for UAV Path Planning in Dynamic Environments
di: Zhang, Shuning
Pubblicazione: (2025)

Hybrid Model Predictive Control with Physics-Informed Neural Network for Satellite Attitude Control
di: Cena, Carlo, et al.
Pubblicazione: (2026)

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

Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control
di: Amer, Abdelhakim, et al.
Pubblicazione: (2025)

RobKiNet: Robotic Kinematics Informed Neural Network for Optimal Robot Configuration Prediction
di: Peng, Yanlong, et al.
Pubblicazione: (2024)

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

Action-aware Dynamic Pruning for Efficient Vision-Language-Action Manipulation
di: Pei, Xiaohuan, et al.
Pubblicazione: (2025)

Boosting Zero-Shot VLN via Abstract Obstacle Map-Based Waypoint Prediction with TopoGraph-and-VisitInfo-Aware Prompting
di: Li, Boqi, et al.
Pubblicazione: (2025)

PhyPlan: Compositional and Adaptive Physical Task Reasoning with Physics-Informed Skill Networks for Robot Manipulators
di: Vagadia, Harshil, et al.
Pubblicazione: (2024)

PI-WAN: A Physics-Informed Wind-Adaptive Network for Quadrotor Dynamics Prediction in Unknown Environments
di: Wang, Mengyun, et al.
Pubblicazione: (2025)

Using Neural Networks to Model Hysteretic Kinematics in Tendon-Actuated Continuum Robots
di: Wang, Yuan, et al.
Pubblicazione: (2024)

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models
di: Zhou, Zhiyuan, et al.
Pubblicazione: (2024)

A Hazard-Informed Data Pipeline for Robotics Physical Safety
di: Odinokov, Alexei, et al.
Pubblicazione: (2026)

Physically-Grounded Goal Imagination: Physics-Informed Variational Autoencoder for Self-Supervised Reinforcement Learning
di: Nguyen, Lan Thi Ha, et al.
Pubblicazione: (2025)

PhyPlan: Generalizable and Rapid Physical Task Planning with Physics Informed Skill Networks for Robot Manipulators
di: Chopra, Mudit, et al.
Pubblicazione: (2024)

DBPnet: Damper Characteristics-Based Bayesian Physics-Informed Neural Network for Wheel Load Estimation
di: Wang, Tianyi, et al.
Pubblicazione: (2026)

Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics
di: Li, Chenhao, et al.
Pubblicazione: (2025)

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic
di: Rahmani, Saeed, et al.
Pubblicazione: (2026)

Fully Spiking Neural Network for Legged Robots
di: Jiang, Xiaoyang, et al.
Pubblicazione: (2023)

Simulation-Informed Diffusion for Decentralized Multi-robot Motion Planning
di: Liang, Jinhao, et al.
Pubblicazione: (2026)

PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos
di: Jiang, Hanxiao, et al.
Pubblicazione: (2025)

MoRPI-PINN: A Physics-Informed Framework for Mobile Robot Pure Inertial Navigation
di: Sahoo, Arup Kumar, et al.
Pubblicazione: (2025)

SimPRIVE: a Simulation framework for Physical Robot Interaction with Virtual Environments
di: Nesti, Federico, et al.
Pubblicazione: (2025)

A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI
di: Wong, Lik Hang Kenny, et al.
Pubblicazione: (2025)

Multi-Dimensional AGV Path Planning in 3D Warehouses Using Ant Colony Optimization and Advanced Neural Networks
di: Zhang, Bo, et al.
Pubblicazione: (2025)

Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language Models
di: Gan, Rui, et al.
Pubblicazione: (2025)

On the Importance of Neural Membrane Potential Leakage for LIDAR-based Robot Obstacle Avoidance using Spiking Neural Networks
di: Ali, Zainab, et al.
Pubblicazione: (2025)

ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI
di: Tao, Stone, et al.
Pubblicazione: (2024)

Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks
di: Berghe, Korneel Van den, et al.
Pubblicazione: (2025)

V-CAGE: Context-Aware Generation and Verification for Scalable Long-Horizon Embodied Tasks
di: Liu, Yaru, et al.
Pubblicazione: (2026)

MAD-PINN: A Decentralized Physics-Informed Machine Learning Framework for Safe and Optimal Multi-Agent Control
di: Tayal, Manan, et al.
Pubblicazione: (2025)

Real-Time Performance Analysis of Multi-Fidelity Residual Physics-Informed Neural Process-Based State Estimation for Robotic Systems
di: Hunter, Devin, et al.
Pubblicazione: (2025)

Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
di: Ma, Xinhang, et al.
Pubblicazione: (2025)

Towards Selection and Transition Between Behavior-Based Neural Networks for Automated Driving
di: Aslam, Iqra, et al.
Pubblicazione: (2024)

A Multimodal Neural Network for Recognizing Subjective Self-Disclosure Towards Social Robots
di: Powell, Henry, et al.
Pubblicazione: (2025)

Learning to Control Dynamical Agents via Spiking Neural Networks and Metropolis-Hastings Sampling
di: Safa, Ali, et al.
Pubblicazione: (2025)

Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network
di: Navone, Alessandro, et al.
Pubblicazione: (2023)

From Seeing to Simulating: Generative High-Fidelity Simulation with Digital Cousins for Generalizable Robot Learning and Evaluation
di: Lu, Jasper, et al.
Pubblicazione: (2026)

Real World Robotic Exploration using Deep Neural Networks Trained in Photorealistic Reconstructed Environments
di: Ward, Isaac Ronald
Pubblicazione: (2025)

Legged Robot State Estimation With Invariant Extended Kalman Filter Using Neural Measurement Network
di: Youm, Donghoon, et al.
Pubblicazione: (2024)