This study presents a multi-sensor activity monitoring system designed to verify daily behaviours and detect physiological anomalies within a controlled home environment. Seven subjects participated in a scripted routine of Activities of Daily Living carried out in a home-like environment. The proposed system is desi...
Ricardo Contreras, I. Saied, Longfei Chen et al.· Scientific Reports· 0 citations
This paper describes a neurosymbolic architecture for learning to assemble novel structures using evidence from embodied conversations and task demonstrations. We focus on scenarios where an agent encounters, after deployment, semantic constraints on structures--in other words, constraints as to which part types and fe...
Jonghyuk Park, A. Lascarides, S. Ramamoorthy· 0 citations
This work proposes a framework that exposes backbone depth V, action expert depth A, and denoising steps $D$ as three jointly configurable compute axes in a VLA, and introduces a KV Cache synthesis mechanism that manages the missing keys and values of the skipped backbone layers, allowing the action expert to exit deep...
Riccardo Andrea Izzo, Rimvydas Rubavicius, Gianluca Bardaro et al.· 0 citations
A set of heuristics are defined to iteratively adapt the support in tandem with posterior inference inlihood-free inference and show that this increases the reliability of both parameter inference and agent skill adaptation.
Georgios Kamaras, Craig Innes, S. Ramamoorthy· IEEE Transactions on Automat...· 0 citations
This work proposes to repair exploitation directly using human preferences over imagined rollouts, leveraging the strong intuitive physics that allows humans to easily spot egregious dynamics hallucinations in pretrained world models.
L. M. Bhamidipaty, M. Kochenderfer, S. Ramamoorthy· 0 citations
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