7 papers
Time-Spectral Resolvent Analysis For Periodic Dynamical Systems
Max Howell, Sicheng He
Traditional resolvent analysis is a powerful framework for identifying the most amplified input-output structures in fluid flows from a stationary base state. Extending this resolv…
Efficient Adjoint-based Design Optimization with Optimal Control
Sicheng He, Shugo Kaneko, Max Howell +2
Multidisciplinary engineering system design typically employs a sequential process, progressing from system dynamics to design variables and control. However, this process is ineff…
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…