Ask Before It Tells: Benchmark-to-Robot Body-Cue Transfer for a Question-First Bedside Robot

arXiv:2609.24099 · cs.RO, cs.HC · Submitted 2026-09-21 · Read on arXiv

cs.RO, cs.HC

Submitted: 2026-09-21

Updated: 2026-09-21

Comments: To appear in the 4th Workshop on Nonverbal Cues for Human-Robot Cooperative Intelligence (NOC), IROS 2026

Code: https://github.com/ultralytics/ultralytics

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 16× in this paper · explained in 2 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Actor — 3× in this paper · explained in 3 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Edge Deployment — 1× in this paper · explained in 2 episodes
• Federated Learning — 1× in this paper · explained in 14 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• The Kinetics Human Action Video Dataset
• Privacy-Preserving Multi-Stage Fall Detection Framework with Semi-supervised Federated Learning and Robotic Vision Confirmation
• Collaborative Fall Detection and Response using Wi-Fi Sensing and Mobile Companion Robot
• Resource-Efficient RGB-Only Action Recognition for Edge Deployment
• From Prompts to Deployment: Auto-Curated Domain-Specific Dataset Generation via Diffusion Models

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