Recent advances in the simulation of frictionally contacting elastodynam...
Existing approaches to system identification (estimating the physical
pa...
In this work, we present a reconfigurable data glove design to capture
d...
We present a robust and efficient method for simulating Lagrangian
solid...
Recent breakthroughs in Vision-Language (V L) joint research have achi...
Learning physical systems on unstructured meshes by flat Graph neural
ne...
We introduce Midas, a robotics simulation framework based on the Increme...
The material point method (MPM) is frequently used to simulate large
def...
Differentiable physics enables efficient gradient-based optimizations of...
Simulating stiff materials in applications where deformations are either...
We introduce a collection of benchmark problems in 2D and 3D (geometry
d...
The simulation of large open water surface is challenging using a unifor...
This paper introduces BFEMP, a new approach for monolithically coupling ...
We present a barrier method for treating frictional contact on interface...
This paper provides a new avenue for exploiting deep neural networks to
...
We extend the incremental potential contact (IPC) model for contacting
e...
Unmanned aerial vehicles have been demonstrated successfully in a variet...
While the superior performance of second-order optimization methods such...
We present a hybrid particle/grid approach for simulating incompressible...
We propose LETO, a new hybrid Lagrangian-Eulerian method for topology
op...
We propose Hierarchical Optimization Time Integration (HOT) for efficien...
Capturing the interaction between objects that have an extreme differenc...
The arrangement of objects into a layout can be challenging for non-expe...
We present a human-centric method to sample and synthesize 3D room layou...
Exploiting the efficiency and stability of Position-Based Dynamics (PBD)...
We propose the configurable rendering of massive quantities of photoreal...