mmHRI: Towards Privacy-Preserving Human-Robot Interaction with Millimeter-Wave Radar

arXiv:2609.34220 · cs.RO, cs.CV · Submitted 2026-09-28 · Read on arXiv

cs.RO, cs.CV

Submitted: 2026-09-28

Updated: 2026-09-30

Project page: https://fanjunqiao.github.io/mmHRI-site

Terminology

• Accuracy — 7× in this paper · explained in 1 episode
• Generalization — 7× in this paper · explained in 13 episodes
• Robustness — 6× in this paper · explained in 5 episodes
• Point Clouds — 4× in this paper · explained in 2 episodes
• Human-Aware Text Reasoning — 3× in this paper
• Sparsity — 3× in this paper · explained in 4 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Adaptive Graph — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Memory State-Space-Model — 1× in this paper

Sources

• OpenVLA: An Open-Source Vision-Language-Action Model
• $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
• MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing
• WaveMan: mmWave-Based Room-Scale Human Interaction Perception for Humanoid Robots
• OmniVLA: Physically-Grounded Multimodal VLA with Unified Multi-Sensor Perception for Robotic Manipulation
• HABIT: Human-Aware Behavior and Interaction Training Dataset for Robot Manipulation
• Gaze2Act: Gaze-Conditioned Vision-Language-Action Policies for Interactive Robot Manipulation
• GIVE: Grounding Human Gestures in Vision-Language-Action Models
• GazeVLA: Learning Human Intention for Robotic Manipulation

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