VisionClaw: Always-On AI Agents through Smart Glasses
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arXiv
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| Format: | Preprint |
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2026
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| author | Liu, Xiaoan Lee, DaeHo Gonzalez, Eric J Gonzalez-Franco, Mar Suzuki, Ryo |
| author_facet | Liu, Xiaoan Lee, DaeHo Gonzalez, Eric J Gonzalez-Franco, Mar Suzuki, Ryo |
| contents | We present VisionClaw, an always-on wearable AI agent that integrates live egocentric perception with agentic task execution. Running on Meta Ray-Ban smart glasses, VisionClaw continuously perceives real-world context and enables in-situ, speech-driven action initiation and delegation via OpenClaw AI agents. Therefore, users can directly execute tasks through the smart glasses, such as adding real-world objects to an Amazon cart, generating notes from physical documents, receiving meeting briefings on the go, creating events from posters, or controlling IoT devices. We evaluate VisionClaw through a controlled laboratory study (N=12) and a longitudinal deployment study (N=5). Results show that integrating perception and execution enables faster task completion and reduces interaction overhead compared to non-always-on and non-agent baselines. Beyond performance gains, deployment findings reveal a shift in interaction: tasks are initiated opportunistically during ongoing activities, and execution is increasingly delegated rather than manually controlled. These results suggest a new paradigm for wearable AI agents, where perception and action are continuously coupled to support situated, hands-free interaction. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2604_03486 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | VisionClaw: Always-On AI Agents through Smart Glasses Liu, Xiaoan Lee, DaeHo Gonzalez, Eric J Gonzalez-Franco, Mar Suzuki, Ryo Human-Computer Interaction Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning Multiagent Systems H.5.2; H.2.11; I.2.10 We present VisionClaw, an always-on wearable AI agent that integrates live egocentric perception with agentic task execution. Running on Meta Ray-Ban smart glasses, VisionClaw continuously perceives real-world context and enables in-situ, speech-driven action initiation and delegation via OpenClaw AI agents. Therefore, users can directly execute tasks through the smart glasses, such as adding real-world objects to an Amazon cart, generating notes from physical documents, receiving meeting briefings on the go, creating events from posters, or controlling IoT devices. We evaluate VisionClaw through a controlled laboratory study (N=12) and a longitudinal deployment study (N=5). Results show that integrating perception and execution enables faster task completion and reduces interaction overhead compared to non-always-on and non-agent baselines. Beyond performance gains, deployment findings reveal a shift in interaction: tasks are initiated opportunistically during ongoing activities, and execution is increasingly delegated rather than manually controlled. These results suggest a new paradigm for wearable AI agents, where perception and action are continuously coupled to support situated, hands-free interaction. |
| title | VisionClaw: Always-On AI Agents through Smart Glasses |
| topic | Human-Computer Interaction Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning Multiagent Systems H.5.2; H.2.11; I.2.10 |
| url | https://arxiv.org/abs/2604.03486 |