no code implementations • 18 Mar 2024 • Abraham George, Selam Gano, Pranav Katragadda, Amir Barati Farimani
Our results show that by pretraining with tactile information, the performance of a non-tactile agent can be significantly improved, reaching a level on par with visuo-tactile agents.
no code implementations • 18 Sep 2023 • Abraham George, Amir Barati Farimani
We achieve this goal by using linear transforms to augment the single demonstration, generating a set of trajectories for a wide range of initial conditions.
1 code implementation • 4 Aug 2023 • Jong Hoon Park, Gauri Pramod Dalwankar, Alison Bartsch, Abraham George, Amir Barati Farimani
Then, the latent representations of the input data, produced from the pretrained autoencoder, is processed with a distinct inference head to infer either the fluid category (classification) or the fluid viscosity (regression) in a time-resolved manner.
no code implementations • 16 May 2023 • Abraham George, Alison Bartsch, Amir Barati Farimani
Across the robotics field, quality demonstrations are an integral part of many control pipelines.
no code implementations • 22 Sep 2022 • Abraham George, Alison Bartsch, Amir Barati Farimani
The use of human demonstrations in reinforcement learning has proven to significantly improve agent performance.