Manipulation of deformable objects has given rise to an important set of open problems in
the field of robotics. Application areas include robotic surgery, household robotics …

This paper presents a survey of the state-of-the-art deformable models studied in the
literature, with regard to soft tissue deformable modeling for interactive surgical simulation. It …

Obtaining an accurate mechanical model of a soft deformable robot compatible with the
computation time imposed by robotic applications is often considered an unattainable goal …

We present a novel, fast differentiable simulator for soft-body learning and control
applications. Existing differentiable soft-body simulators can be classified into two categories …

The computational efficiency of a typical, projection‐based, nonlinear model reduction
method hinges on the efficient approximation, for explicit computations, of the scalar …

A practical guide to finite-element-method (FEM) simulation of 3D deformable solids reviews
essential offline FEM simulation techniques: complex nonlinear materials, invertible …

We propose a hybrid neural network (NN) and PDE approach for learning generalizable
PDE dynamics from motion observations. Many NN approaches learn an end-to-end model …

Physically based deformable models have been widely embraced by the Computer
Graphics community. Many problems outlined in a previous survey by Gibson and Mirtich …

Direction fields and vector fields play an increasingly important role in computer graphics
and geometry processing. The synthesis of directional fields on surfaces, or other spatial …

We present a new method for real-time physics-based simulation supporting many different
types of hyperelastic materials. Previous methods such as Position-Based or Projective …