2 papers
cs.RO2026
An Efficient Metric for Data Quality Measurement in Imitation Learning
Noushad Sojib, Sajay Arthanat, Momotaz Begum
Imitation learning (IL) has seen remarkable progress, yet field deployment of IL-powered robots remains hindered by the challenge of out-of-distribution (OOD) scenarios. Fine-tunin…
cs.RO2026
Good in Bad (GiB): Sifting Through End-user Demonstrations for Learning a Better Policy
Noushad Sojib, Ola Ghattas, Sajay Arthanat +1
Imitation learning offers a promising framework for enabling robots to acquire diverse skills from human users. However, most imitation learning algorithms assume access to high-qu…