Search Results for author:
Found 3 papers, 0 papers with code
A Statistical Guarantee for Representation Transfer in Multitask Imitation Learning
Transferring representation for multitask imitation learning has the potential to provide improved sample efficiency on learning new tasks, when compared to learning from scratch.
Bridging the Model-Reality Gap with Lipschitz Network Adaptation
In particular, we present a learning-based model reference adaptation approach that makes a robot system, with possibly uncertain dynamics, behave as a predefined reference model.
Catch the Ball: Accurate High-Speed Motions for Mobile Manipulators via Inverse Dynamics Learning
Typically, mobile manipulators are deployed in slow-motion collaborative robot scenarios.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
