Luma System Robotics for Independent Aging
Executive Summary
Core Innovation:
Luma is an integrated assistive robotics platform combining:
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A smart companion robot with real-time mobility monitoring and voice interaction
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A medical-grade wearable band for continuous biometric tracking
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A closed-loop predictive AI system for early risk detection
Technical Objective:
Develop the first preventative care system for aging adults that:
- Operates autonomously (no caregiver input required)
- Processes sensitive health data locally (no cloud dependency)
- Integrates with existing healthcare infrastructure (EHR, Medicare)
Technical Architecture
1. Hardware Specifications
| Component | Technical Details | Differentiation |
|---|---|---|
| Luma Robot | - LiDAR + Depth Sensing: mmWave radar for gait analysis (60Hz sampling) - Quad-core ARM processor (Local AI inference) - Far-field mic array (Noise-resistant voice capture) |
Proprietary fall prediction algorithms |
| Luma Band | - Medical-grade PPG sensor (HR/SpO₂) - 3D accelerometer (0.001g resolution) - Wireless charging (Qi 1.3) |
Continuous wear compliance >22hrs/day |
| Base Station | - 4G LTE fallback - HIPAA-compliant local storage (256GB encrypted) |
Zero-touch data sync |
2. AI/Software Stack
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On-Device ML Models:
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Gait Stability Scoring (TensorFlow Lite)
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Context-Aware Reminders (PyTorch NLP)
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Privacy Architecture:
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All biometric processing on-edge (no raw data leaves home)
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Differential privacy for aggregated analytics
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Market Positioning
1 Target Segments
| Segment | Use Case | Technical Requirements |
|---|---|---|
| Aging in Place | Fall prevention + medication adherence | Plug-and-play setup |
| Memory Care | Cognitive support (reminders, companionship) | Voice UX for dementia |
| Post-Hospitalization | Recovery monitoring | EHR integration |
2 Regulatory Pathway
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FDA Classification:
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Robot: Class I (General wellness)
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Band: Class II (Medical device, 510(k) submission)
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Reimbursement Strategy:
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CPT Code 99091 (Remote monitoring)
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Medicare Advantage value-based care programs
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Development Roadmap
Phase 1: Prototyping (12 months)
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Q1-Q2:
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Alpha hardware builds (n=50)
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Firmware for sensor fusion (IMU + LiDAR)
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Q3-Q4:
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Closed-beta with 3 senior living providers
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ONC-certified EHR integration
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Phase 2: Commercialization (24 months)
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Manufacturing:
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Contract manufacturing via Jabil/Flex
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Target COGS: $318/unit at 10k scale
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Deployment:
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Direct sales to assisted living facilities
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DTC via Amazon Health
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Financial Model
1 Unit Economics
| Metric | Robot | Band | Services |
|---|---|---|---|
| Production Cost | $422 | $87 | $1.80/user/mo |
| Target Price | $1,299 | $199 | $59/mo |
| Gross Margin | 68% | 56% | 92% |
2 Funding Requirements
| Phase | Capital Needed | Allocation |
|---|---|---|
| R&D | $4.2M | Sensor validation + ML training |
| Regulatory | $1.8M | FDA/CE submissions |
| Production | $6.0M | Tooling + first production run (5k units) |
Risk Mitigation
| Risk | Technical Solution |
|---|---|
| False positive alerts | Ensemble ML model (F1-score >0.92 in lab) |
| User adoption | Gamified onboarding (voice tutorials) |
| Data security | End-to-end PGP encryption + local processing |
Long-Term Vision
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2027+: Deployment of LumaOS – an open platform for:
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Third-party health apps (e.g., diabetes management)
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Integration with smart home systems (Alexa, Google Home)
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Expansion to pediatric and disability markets
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