deformable object simulation 1model predictive control 1neural network residuals 1physics-based modeling 1temporal transformers 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.RO2026
Learning Physics-Guided Residual Dynamics for Deformable Object Simulation
Shivansh Patel, Kaifeng Zhang, Sanjay Pokkali +2
The paper introduces Physics-Guided Residual Dynamics (PGRD), a hybrid framework that augments a spring‑mass physics simulator with a neural network predicting residual corrections…
cs.RO2025
NAMOUnc: Navigation Among Movable Obstacles with Decision Making on Uncertainty Interval
Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto +2
Navigation among movable obstacles (NAMO) is a critical task in robotics, often challenged by real-world uncertainties such as observation noise, model approximations, action failu…