DiffPD: Differentiable Projective Dynamics
<jats:p> 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 based on their time integration methods: Simulators using explicit timestepping schemes re...
Main Authors: | , , , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Association for Computing Machinery (ACM)
2022
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Online Access: | https://hdl.handle.net/1721.1/143798 |