Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids

Understand

Real-life control tasks involve matters of various substances---rigid or soft bodies, liquid, gas---each with distinct physical behaviors.

• This poses challenges to traditional rigid-body physics engines.
• Particle-based simulators have been developed to model the dynamics of these complex scenes; however, relying on approximation techniques, their simulation often deviates from real-world physics, especially in the long term.
• In this paper, we propose to learn a particle-based simulator for complex control tasks.