Domain-decoupled Physics-informed Neural Networks with Closed-form Gradients for Fast Model Learning of Dynamical Systems

Documenti analoghi

• Adaptive Model-Predictive Control of a Soft Continuum Robot Using a Physics-Informed Neural Network Based on Cosserat Rod Theory
  di: Licher, Johann, et al.
  Pubblicazione: (2025)
• SafePR: Unified Approach for Safe Parallel Robots by Contact Detection and Reaction with Redundancy Resolution
  di: Mohammad, Aran, et al.
  Pubblicazione: (2025)
• Learning-based Position and Stiffness Feedforward Control of Antagonistic Soft Pneumatic Actuators using Gaussian Processes
  di: Habich, Tim-Lukas, et al.
  Pubblicazione: (2023)
• Generalizable and Fast Surrogates: Model Predictive Control of Articulated Soft Robots using Physics-Informed Neural Networks
  di: Habich, Tim-Lukas, et al.
  Pubblicazione: (2025)
• Towards Optimized Parallel Robots for Human-Robot Collaboration by Combined Structural and Dimensional Synthesis
  di: Mohammad, Aran, et al.
  Pubblicazione: (2024)