1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.RO2020
Multi-Modal Learning of Keypoint Predictive Models for Visual Object Manipulation
Sarah Bechtle, Neha Das, Franziska Meier
Humans have impressive generalization capabilities when it comes to manipulating objects and tools in completely novel environments. These capabilities are, at least partially, a r…
cs.LG2019★ 1 cited
Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations
Neha Das, Maximilian Karl, Philip Becker-Ehmck +1
Learning a model of dynamics from high-dimensional images can be a core ingredient for success in many applications across different domains, especially in sequential decision maki…