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#artificial intelligence Preprint Sep 2026

Distillation for Efficient Multitask Manipulation Policies via Conditional Flow Matching

Advances in generative modeling have recently been extensively employed in robotics for policy learning. In particular, Conditional Flow Matching (CFM) trained with expert demonstrations has been shown to outperform existing methods on robot manipulation benchmarks. While prior work has mainly focused on single-task se...

Shreya Deshmukh, Imen Mahdi, Nick Heppert et al. · 0 citations
Preprint Aug 2026

Human-Centered Reflections on Care Robots: A Comparative Study of Caregiver Perspectives

Care robots are increasingly being introduced into healthcare settings, raising important questions about their acceptance and ethical implementation. To better understand these challenges, this study investigates caregivers'perceptions of four categories of care robots: delivering supplies, helping patients into bed,...

Laura Londoño, Klaus Baumann, A. Valada et al. · 0 citations
Preprint Aug 2026

GhostPoint: Self-Supervised Representation Learning by Hallucinating Occluded LiDAR Structure

GhostPoint is proposed, an SSL framework that hallucinates latent features in local neighborhoods around discovered instances, generated via a novel instance voxel dilation, and introduces a predictor-level supervision scheme on sampled voxels from generated neighborhoods.

Mohamed Abdelsamad, Bin Yang, Michael Ulrich et al. · 1 citation

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