3 papers
cs.RO2026
Heracles: Bridging Precise Tracking and Generative Synthesis for General Humanoid Control
Zelin Tao, Zeran Su, Peiran Liu +13
Achieving general-purpose humanoid control requires a delicate balance between the precise execution of commanded motions and the flexible, anthropomorphic adaptability needed to r…
physics.flu-dyn2026
Learnable Viscosity Modulation in Physics-Informed Neural Networks for Incompressible Flow Reconstruction
Ke Xu, Ze Tao, Fujun Liu
Accurately and stably solving the incompressible Navier--Stokes equations with physics-informed neural networks (PINNs) remains challenging, particularly for sparse or noisy observ…
cs.LG2026
Residual Attention Physics-Informed Neural Networks for Robust Multiphysics Simulation of Steady-State Electrothermal Energy Systems
Yuqing Zhou, Ze Tao, Fujun Liu
Efficient thermal management and precise field prediction are critical for the design of advanced energy systems, including electrohydrodynamic transport, microfluidic energy harve…