24 citations · 24 across the 1 of their papers we have counts for
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cs.RO2018
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks
Connor Schenck, Dieter Fox
In this paper we introduce Smooth Particle Networks (SPNets), a framework for integrating fluid dynamics with deep networks. SPNets adds two new layers to the neural network toolbo…
cs.RO2017★ 24 cited
Learning Robotic Manipulation of Granular Media
Connor Schenck, Jonathan Tompson, Dieter Fox +1
In this paper, we examine the problem of robotic manipulation of granular media. We evaluate multiple predictive models used to infer the dynamics of scooping and dumping actions.…