Saved in:
| Main Authors: | Yuan, Xintian, Ao, Yunke, Chen, Boqi, Fuernstahl, Philipp |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.13123 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Neural Control Barrier Functions from Physics Informed Neural Networks
by: Agrawal, Shreenabh, et al.
Published: (2025)
by: Agrawal, Shreenabh, et al.
Published: (2025)
A Physics-Informed Neural Network Approach for UAV Path Planning in Dynamic Environments
by: Zhang, Shuning
Published: (2025)
by: Zhang, Shuning
Published: (2025)
Hybrid Model Predictive Control with Physics-Informed Neural Network for Satellite Attitude Control
by: Cena, Carlo, et al.
Published: (2026)
by: Cena, Carlo, et al.
Published: (2026)
Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control
by: Amer, Abdelhakim, et al.
Published: (2025)
by: Amer, Abdelhakim, et al.
Published: (2025)
Action-aware Dynamic Pruning for Efficient Vision-Language-Action Manipulation
by: Pei, Xiaohuan, et al.
Published: (2025)
by: Pei, Xiaohuan, et al.
Published: (2025)
Boosting Zero-Shot VLN via Abstract Obstacle Map-Based Waypoint Prediction with TopoGraph-and-VisitInfo-Aware Prompting
by: Li, Boqi, et al.
Published: (2025)
by: Li, Boqi, et al.
Published: (2025)
RobKiNet: Robotic Kinematics Informed Neural Network for Optimal Robot Configuration Prediction
by: Peng, Yanlong, et al.
Published: (2024)
by: Peng, Yanlong, et al.
Published: (2024)
Fine-Tuning Hybrid Physics-Informed Neural Networks for Vehicle Dynamics Model Estimation
by: Fang, Shiming, et al.
Published: (2024)
by: Fang, Shiming, et al.
Published: (2024)
PhyPlan: Compositional and Adaptive Physical Task Reasoning with Physics-Informed Skill Networks for Robot Manipulators
by: Vagadia, Harshil, et al.
Published: (2024)
by: Vagadia, Harshil, et al.
Published: (2024)
SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models
by: Zhou, Zhiyuan, et al.
Published: (2024)
by: Zhou, Zhiyuan, et al.
Published: (2024)
PI-WAN: A Physics-Informed Wind-Adaptive Network for Quadrotor Dynamics Prediction in Unknown Environments
by: Wang, Mengyun, et al.
Published: (2025)
by: Wang, Mengyun, et al.
Published: (2025)
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)
Using Neural Networks to Model Hysteretic Kinematics in Tendon-Actuated Continuum Robots
by: Wang, Yuan, et al.
Published: (2024)
by: Wang, Yuan, et al.
Published: (2024)
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)
A Hazard-Informed Data Pipeline for Robotics Physical Safety
by: Odinokov, Alexei, et al.
Published: (2026)
by: Odinokov, Alexei, et al.
Published: (2026)
Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic
by: Rahmani, Saeed, et al.
Published: (2026)
by: Rahmani, Saeed, 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)
Physically-Grounded Goal Imagination: Physics-Informed Variational Autoencoder for Self-Supervised Reinforcement Learning
by: Nguyen, Lan Thi Ha, et al.
Published: (2025)
by: Nguyen, Lan Thi Ha, et al.
Published: (2025)
PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos
by: Jiang, Hanxiao, et al.
Published: (2025)
by: Jiang, Hanxiao, et al.
Published: (2025)
Simulation-Informed Diffusion for Decentralized Multi-robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2026)
by: Liang, Jinhao, et al.
Published: (2026)
Fully Spiking Neural Network for Legged Robots
by: Jiang, Xiaoyang, et al.
Published: (2023)
by: Jiang, Xiaoyang, et al.
Published: (2023)
V-CAGE: Context-Aware Generation and Verification for Scalable Long-Horizon Embodied Tasks
by: Liu, Yaru, et al.
Published: (2026)
by: Liu, Yaru, et al.
Published: (2026)
MoRPI-PINN: A Physics-Informed Framework for Mobile Robot Pure Inertial Navigation
by: Sahoo, Arup Kumar, et al.
Published: (2025)
by: Sahoo, Arup Kumar, 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)
ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI
by: Tao, Stone, et al.
Published: (2024)
by: Tao, Stone, et al.
Published: (2024)
Multi-Dimensional AGV Path Planning in 3D Warehouses Using Ant Colony Optimization and Advanced Neural Networks
by: Zhang, Bo, et al.
Published: (2025)
by: Zhang, Bo, et al.
Published: (2025)
SimPRIVE: a Simulation framework for Physical Robot Interaction with Virtual Environments
by: Nesti, Federico, et al.
Published: (2025)
by: Nesti, Federico, et al.
Published: (2025)
A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI
by: Wong, Lik Hang Kenny, et al.
Published: (2025)
by: Wong, Lik Hang Kenny, et al.
Published: (2025)
On the Importance of Neural Membrane Potential Leakage for LIDAR-based Robot Obstacle Avoidance using Spiking Neural Networks
by: Ali, Zainab, et al.
Published: (2025)
by: Ali, Zainab, et al.
Published: (2025)
Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language Models
by: Gan, Rui, et al.
Published: (2025)
by: Gan, Rui, et al.
Published: (2025)
Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks
by: Berghe, Korneel Van den, et al.
Published: (2025)
by: Berghe, Korneel Van den, et al.
Published: (2025)
MAD-PINN: A Decentralized Physics-Informed Machine Learning Framework for Safe and Optimal Multi-Agent Control
by: Tayal, Manan, et al.
Published: (2025)
by: Tayal, Manan, et al.
Published: (2025)
Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
by: Ma, Xinhang, et al.
Published: (2025)
by: Ma, Xinhang, et al.
Published: (2025)
Towards Selection and Transition Between Behavior-Based Neural Networks for Automated Driving
by: Aslam, Iqra, et al.
Published: (2024)
by: Aslam, Iqra, et al.
Published: (2024)
From Seeing to Simulating: Generative High-Fidelity Simulation with Digital Cousins for Generalizable Robot Learning and Evaluation
by: Lu, Jasper, et al.
Published: (2026)
by: Lu, Jasper, et al.
Published: (2026)
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)
A Multimodal Neural Network for Recognizing Subjective Self-Disclosure Towards Social Robots
by: Powell, Henry, et al.
Published: (2025)
by: Powell, Henry, et al.
Published: (2025)
Learning to Control Dynamical Agents via Spiking Neural Networks and Metropolis-Hastings Sampling
by: Safa, Ali, et al.
Published: (2025)
by: Safa, Ali, et al.
Published: (2025)
Online Learning of Wheel Odometry Correction for Mobile Robots with Attention-based Neural Network
by: Navone, Alessandro, et al.
Published: (2023)
by: Navone, Alessandro, et al.
Published: (2023)
VITA: Vision-to-Action Flow Matching Policy
by: Gao, Dechen, et al.
Published: (2025)
by: Gao, Dechen, et al.
Published: (2025)
Similar Items
-
Neural Control Barrier Functions from Physics Informed Neural Networks
by: Agrawal, Shreenabh, et al.
Published: (2025) -
A Physics-Informed Neural Network Approach for UAV Path Planning in Dynamic Environments
by: Zhang, Shuning
Published: (2025) -
Hybrid Model Predictive Control with Physics-Informed Neural Network for Satellite Attitude Control
by: Cena, Carlo, et al.
Published: (2026) -
Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control
by: Amer, Abdelhakim, et al.
Published: (2025) -
Action-aware Dynamic Pruning for Efficient Vision-Language-Action Manipulation
by: Pei, Xiaohuan, et al.
Published: (2025)