5 papers
Training-free score-based diffusion for parameter-dependent stochastic dynamical systems
Minglei Yang, Sicheng He
Simulating parameter-dependent stochastic differential equations (SDEs) presents significant computational challenges, as separate high-fidelity simulations are typically required…
Torus Time-Spectral Method for Quasi-Periodic Problems
Sicheng He, Hang Li, Kivanc Ekici
Quasi-periodic trajectories with two or more incommensurate frequencies are ubiquitous in nonlinear dynamics, yet the classical Fourier-based time-spectral method is tied to strict…
Robot Learning from a Physical World Model
Jiageng Mao, Sicheng He, Hao-Ning Wu +9
We introduce PhysWorld, a framework that enables robot learning from video generation through physical world modeling. Recent video generation models can synthesize photorealistic…
GundamQ: Multi-Scale Spatio-Temporal Representation Learning for Robust Robot Path Planning
Yutong Shen, Ruizhe Xia, Bokai Yan +4
In dynamic and uncertain environments, robotic path planning demands accurate spatiotemporal environment understanding combined with robust decision-making under partial observabil…
DKFNet: Differentiable Kalman Filter for Field Inversion and Machine Learning
Yuan Wu, Sicheng He
The Kalman filter is a fundamental tool for state estimation in dynamical systems. While originally developed for linear Gaussian settings, it has been extended to nonlinear proble…