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Found 5 papers, 1 papers with code
Visuo-Tactile Pretraining for Cable Plugging
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.
One ACT Play: Single Demonstration Behavior Cloning with Action Chunking Transformers
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.
Fluid Viscosity Prediction Leveraging Computer Vision and Robot Interaction
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.
OpenVR: Teleoperation for Manipulation
Across the robotics field, quality demonstrations are an integral part of many control pipelines.
Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning
The use of human demonstrations in reinforcement learning has proven to significantly improve agent performance.
