3 papers
cs.RO2024
Semi-Supervised Neural Processes for Articulated Object Interactions
Emily Liu, Michael Noseworthy, Nicholas Roy
The scarcity of labeled action data poses a considerable challenge for developing machine learning algorithms for robotic object manipulation. It is expensive and often infeasible…
cs.LG2023
Structured Latent Variable Models for Articulated Object Interaction
Emily Liu, Michael Noseworthy, Nicholas Roy
In this paper, we investigate a scenario in which a robot learns a low-dimensional representation of a door given a video of the door opening or closing. This representation can be…
cs.CY2022
Artificial Intelligence Nomenclature Identified From Delphi Study on Key Issues Related to Trust and Barriers to Adoption for Autonomous Systems
Thomas E. Doyle, Victoria Tucci, Calvin Zhu +7
The rapid integration of artificial intelligence across traditional research domains has generated an amalgamation of nomenclature. As cross-discipline teams work together on compl…