Maximilian Nussbaumer@quotentiroler

Sleepy Mini – Robonormal Activity reimagines sleep monitoring by combining Reachy Mini's spatial awareness with wearable biometrics and LLM-powered reasoning. Reachy Mini's 3-DOF head (roll/pitch/yaw) and look_at() gaze control give it continuous spatial awareness of the crib environment — tracking infant position, detecting movement zones, and orienting its camera feed toward areas of activity. This spatial telemetry is structured alongside FHIR R4 health observations (heart rate, respiratory rate, SpO₂, sleep staging, movement actigraphy) sourced from a SOM armband and Apple Watch via Apple HealthKit. The key insight: all of this data — real-time vitals, sleep stage classifications, movement vectors, spatial gaze coordinates, and device state — is serialized into structured FHIR bundles and streamed into an LLM's context window. The model interprets the multimodal signal holistically: correlating a spike in heart rate with increased crib movement and Reachy's gaze shift to infer a restless transition, or recognizing sustained deep-sleep vitals with minimal spatial activity to confirm consolidated rest. When the LLM detects actionable patterns, Reachy responds physically — gentle antenna wiggles, a reassuring head nod, or a soft chime from its torso speaker via the audio API. The smart alarm uses this same loop: as the target wake window approaches, the LLM identifies the lightest sleep stage from the FHIR data and triggers a graduated wake sequence (antenna motion → head movement → sound) timed to the optimal moment. Built for Track 3: Robotic Interaction and Task Execution (Simulation-First). All Reachy SDK commands (head.goto(), head.look_at(), l_antenna.goto(), audio.play_audio_file()) are simulated in-browser with real API signatures, ready for deployment on physical hardware. FHIR R4 bundles with LOINC codes ensure Apple Health compatibility across the data pipeline.

Join our $1,000,000+ startup challenge series powered by Surge 📌 This announcement outlines the launch of a Global Human+AI Exchange — aligning universities, global cities, talent networks, and industry to accelerate human-centered AI innovation, technology transfer, and economic growth. 👉 Read more here ⏱️ 8 days to turn your idea, or existing product, into an investable demo. 📅 February 6 - 15, 2026 • Feb 6 - 14 (Online Phase) - Collaborate and build online with developers and AI innovators from around the world. All projects must be submitted by the end of the online phase on February 14th. 🕙 Doors open at 10:00 AM, first come, first served. • Feb 14 (On‑site Build Day) - Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Feb 15 (On‑site Demos & Awards) - Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. 🌟 Get feedback from startup mentors and technical experts. 📍 On-site Venue (Feb 14–15): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📲 Real-time on-site updates (SF) For real-time announcements and information during the on-site portion (Feb 14–15), join the LabLab SF Chapter WhatsApp group: 👉 Join the WhatsApp group 🤝 Join solo or with a team. New founders and existing startups are welcome. 🏆 $1,000,000+ in credits, token prizes, perks and funding opportunity. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Apply now to build, validate, and pitch with purpose.