Learning particle dynamics for manipulating rigid bodies, deformable objects, and fluids
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...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
OpenReview.net
2020
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| Online Access: | https://hdl.handle.net/1721.1/126588 |