John D. Kelleher — accepted AI-conference papers

2024

CoBT: Collaborative Programming of Behaviour Trees from One Demonstration for Robot Manipulation

Aayush Jain, Philip Long, Valeria Villani, John D. Kelleher, Maria Chiara Leva

ICRA 2024poster

Mass customization and shorter manufacturing cycles are becoming more important among small and medium-sized companies. However, classical industrial robots struggle to cope with product variation and dynamic environments. In this paper, we present CoBT, a collaborative programming by demonstration…

Cited by 1 Source ↗code ↗Scholar ↗

2024

Following the Embedding: Identifying Transition Phenomena in Wav2vec 2.0 Representations of Speech Audio

Patrick Cormac English, Erfan A. Shams, John D. Kelleher, Julie Carson-Berndsen

ICASSP 2024accepted

Although transformer-based models have improved the state-of-the-art in speech recognition, it is still not well understood what information from the speech signal these models encode in their latent representations. This study investigates the potential of using labelled data (TIMIT) to probe wav2v…

Cited by 0 Source ↗Scholar ↗