14 citations · 14 across the 1 of their papers we have counts for
2 papers
cs.RO2020★ 14 cited
ContactNets: Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations
Samuel Pfrommer, Mathew Halm, Michael Posa
Common methods for learning robot dynamics assume motion is continuous, causing unrealistic model predictions for systems undergoing discontinuous impact and stiction behavior. In…
eess.SP2020
Discriminability of Single-Layer Graph Neural Networks
Samuel Pfrommer, Fernando Gama, Alejandro Ribeiro
Network data can be conveniently modeled as a graph signal, where data values are assigned to the nodes of a graph describing the underlying network topology. Successful learning f…