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--- project:3dpb-med:start [2026/01/18 03:18] – created gribaart
+++ project:3dpb-med:start [2026/01/18 03:30] (current) – gribaart
@@ Line 2: / Line 2: @@
 {{template>:project:infobox|
 name=Autonomous Wound Treatment Robot|
-image=|
+image=:3dpb-med:unnamed.jpg?400|
 founder=[[user:artem]]|
 depends=[[3d_printed_robotics_initiative]]|
@@ Line 11: / Line 11: @@
 status = planning
 ~~
 ===== Motivation =====
-Late one evening, I arrived at an emergency department with a wound infection (7 days post-injury, clear signs: warmth, pain, redness). The waiting room was empty—two people total.
+Late one evening, I arrived at an emergency department with a wound infection (7 days post-injury, clear signs: warmth, pain, redness). The waiting room was almost empty, two people total.
 I sat by the door, exposed the wound, and asked the nurse: **"Can you look at this for 5 seconds and tell me if it can wait until morning?"**
@@ Line 25: / Line 27: @@
   * Emergency systems fail patients over bureaucracy
   * Consistent, accessible first-line care shouldn't depend on luck
-  * Robots don't have empathy, but they also don't have apathy
+  * Technology can provide the baseline care that humans sometimes refuse to give
 ===== What We're Building =====
-An open-source 3D-printed robotic system for autonomous wound assessment and treatment:
+An open-source 3D-printed robotic system for autonomous wound assessment and treatment.
 **Core Functions:**
@@ Line 35: / Line 37: @@
   * Ultrasonic wound debridement (bacteria elimination, biofilm removal)
   * Automated cleaning and treatment application
-  * Prescription recommendations (antibiotics yes/no)
+  * Treatment recommendations
-**Target Applications:**
+**Potential Applications:**
   * Emergency department triage (overnight/weekend shifts)
   * Rural clinics with limited staff
-  * Veterinary clinics (regulatory pathway is easier)
+  * Veterinary clinics (easier regulatory pathway for initial testing)
-  * Field medicine (refugee camps, disaster zones, military)
+  * Field medicine (refugee camps, disaster zones)
+**Open Source Philosophy:**
+  * All hardware designs (CAD files, STL files)
+  * All software (control systems, AI models, protocols)
+  * Full documentation for replication
+  * MIT/Apache license
 ===== Technical Overview =====
-**Hardware:**
+==== Hardware ====
-  * 3D-printed robotic arm (6-DOF, PETG/ABS)
-  * 4 tool attachments: air nozzle, liquid spray, ultrasonic probe, ointment applicator
-  * AI camera + depth sensor
-  * Raspberry Pi / Arduino control system
-**Treatment Protocol:**
+**Robotic Arm:**
-  - AI scan → assess severity
+  * 3D-printed structure (PETG/ABS for sterilization compatibility)
-  - Liquid rinse → remove debris
+  * 6-DOF design based on existing open-source arms
-  - Ultrasonic debridement (in antiseptic bath, 30-60 sec)
+  * Budget servo/stepper motors
-  - Final rinse → sterile flush
+  * Tool changer mechanism for multiple attachments
-  - Air dry → compressed air
-  - Apply ointment → levomekol or equivalent
-  - Verification scan → repeat if needed
-  - Output → antibiotic recommendation
-**Key Components:**
+**Four Tool Attachments:**
-  * Vision: OpenCV + TensorFlow (wound segmentation, infection classifier)
+  * **Air nozzle** — sterile compressed air (debris removal, drying)
-  * Control: Custom kinematics + safety monitoring
+  * **Liquid dispenser** — saline/antiseptic spray system
-  * Data: Treatment logging for continuous improvement
+  * **Ultrasonic probe** — 20-40 kHz debridement head
+  * **Ointment applicator** — automated dosing system
-===== Realistic Roadmap =====
+**Vision System:**
+  * USB camera + depth sensor
+  * AI-based wound assessment
+  * Thermal imaging (optional, for infection detection)
-==== Phase 1: Prototype (Months 1-6) ====
+**Control:**
+  * Raspberry Pi 4 or Arduino-based controller
+  * Force/distance sensors for safety
+  * Emergency stop mechanism
-  * ☐ Recruit 2-3 part-time collaborators (robotics, ML, medical background preferred)
+==== Treatment Protocol ====
-  * ☐ Design and 3D print basic arm structure
-  * ☐ Test individual tool attachments on synthetic models
-  * ☐ Build AI vision system (wound detection accuracy goal: 70%+)
-  * ☐ First functional demo on synthetic wounds
-  * ☐ Document build process for open-source community
-  * ☐ Apply for small grants (EU innovation funds, health-tech accelerators: €10-50k)
-**Success criteria:** Working prototype treats synthetic wounds with 70%+ AI accuracy
+  - **AI scan** → assess wound (size, depth, contamination, infection signs)
+  - **Pre-cleaning** → saline rinse + air debris removal
+  - **Ultrasonic debridement** → antiseptic bath + ultrasound (30-60 sec)
+    * Critical: ultrasound requires liquid medium to work
+  - **Final rinse** → sterile saline flush
+  - **Air dry** → compressed air
+  - **Apply ointment** → levomekol or equivalent
+  - **Verification scan** → check cleaning quality, repeat if needed
+  - **Output recommendation** → antibiotic prescription yes/no
-==== Phase 2: Validation & Pivot Exploration (Months 7-12) ====
+==== Software Stack ====
-  * ☐ Attempt human medical partnerships (expect resistance)
+**Vision & AI:**
-  * ☐ **Pivot to veterinary applications** (easier regulation, faster market entry)
+  * OpenCV for image processing
-  * ☐ Partner with 2-3 vet clinics for supervised testing
+  * TensorFlow/PyTorch for ML models
-  * ☐ Collect real-world data (target: 100+ treatments)
+  * Wound segmentation (U-Net architecture)
-  * ☐ Improve AI accuracy to 85%+
+  * Infection classifier (CNN)
-  * ☐ Regulatory research: CE Mark pathway, veterinary vs. human certification
-  * ☐ Explore NGO partnerships (field medicine, refugee camps)
-**Success criteria:** 3 vet clinics piloting system, 85%+ accuracy, clear regulatory pathway identified
+**Control System:**
+  * Custom kinematics or MoveIt integration
+  * Real-time force monitoring
+  * Safety collision detection
+  * Treatment protocol state machine
-==== Phase 3: Traction & Funding (Months 13-24) ====
+**Data & Logging:**
+  * All treatments logged for quality analysis
+  * Continuous model improvement from field data
-  * ☐ Establish veterinary market beachhead (€500-1000/month subscriptions)
+===== Roadmap =====
-  * ☐ Target revenue: €1500-3000/month from pilot clients
-  * ☐ Publish results: academic papers, conference presentations
-  * ☐ Build case study portfolio (video demos, testimonials)
-  * ☐ Apply for larger grants (EU Horizon, health innovation funds: €50-200k)
-  * ☐ **Return to human medicine** with proven veterinary technology
-  * ☐ Seek pre-seed funding (angels, health-tech VCs: €200-500k)
-**Success criteria:** €2-5k MRR, published validation data, funding secured
+==== Phase 1: Proof of Concept (Months 1-6) ====
-==== Phase 4: Scale (Months 25-36) ====
+  * ☐ Design 3D-printable arm structure
+  * ☐ Source and test motors, sensors, components
+  * ☐ Build single-axis test rig
+  * ☐ Test each tool attachment independently:
+    * ☐ Air nozzle pressure control
+    * ☐ Liquid dispenser accuracy
+    * ☐ Ultrasonic probe effectiveness
+    * ☐ Ointment application consistency
+  * ☐ Build AI vision system (target: 70%+ accuracy on synthetic wounds)
+  * ☐ Create synthetic wound models for testing
+  * ☐ First complete treatment cycle demonstration
-  * ☐ Grow team to 5-7 people (hire engineers, regulatory specialist)
+**Milestone:** Working prototype treats synthetic wounds with basic automation
-  * ☐ Begin CE Mark certification process (human medical device)
-  * ☐ Expand deployments: 10+ veterinary sites, 2-3 human pilots (NGO/field)
-  * ☐ Develop enterprise features (hospital integration, data analytics)
-  * ☐ Establish dual business model:
-    * Open-source community edition
-    * Commercial enterprise edition (support, certification, compliance)
-  * ☐ Seed round fundraising (€500k-1M)
-**Success criteria:** Regulatory approval in progress, €10-30k MRR, seed funding closed
+==== Phase 2: Integration & Testing (Months 7-12) ====
-==== Phase 5: Growth (Months 36+) ====
+  * ☐ Assemble full 6-DOF robotic arm
+  * ☐ Implement tool changer mechanism
+  * ☐ Integrate all subsystems (vision, control, safety)
+  * ☐ Improve AI accuracy to 85%+ on diverse wound types
+  * ☐ Collect 100+ test treatments on synthetic models
+  * ☐ Document full build process for replication
+  * ☐ Explore partnerships:
+    * ☐ Veterinary clinics (easier regulatory environment)
+    * ☐ NGOs working in field medicine
+    * ☐ University research collaboration
-  * ☐ CE Mark obtained
+**Milestone:** System consistently treats wounds autonomously, documentation published
-  * ☐ Scale manufacturing and distribution
-  * ☐ Expand to multiple markets (EU, refugee/NGO sector, veterinary)
-  * ☐ Series A consideration or sustainable profitability path
-===== Success Metrics =====
+==== Phase 3: Real-World Validation (Months 13-24) ====
-**6 months:**
+  * ☐ Partner with veterinary clinic for supervised testing
-  * ✓ Working prototype
+  * ☐ Collect real-world treatment data
-  * ✓ 2-3 active collaborators
+  * ☐ Refine protocols based on feedback
-  * ✓ AI accuracy >70%
+  * ☐ Publish findings (blog posts, conference papers, videos)
+  * ☐ Build community of replicators
+  * ☐ Research regulatory pathways (veterinary first, then human)
+  * ☐ Explore grant opportunities for continued development
-**12 months:**
+**Milestone:** 3+ external sites testing replicated systems, peer-reviewed validation
-  * ✓ 3+ veterinary pilot sites
-  * ✓ AI accuracy >85%
-  * ✓ €10-50k grant secured
-**24 months:**
+==== Phase 4: Scale & Impact (Months 24+) ====
-  * ✓ €2-5k MRR
-  * ✓ Published validation study
-  * ✓ Pre-seed funding (€200-500k)
-**36 months:**
+  * ☐ Support multiple deployment sites
-  * ✓ CE Mark process underway
+  * ☐ Develop "enterprise" features for clinical integration
-  * ✓ €10-30k MRR
+  * ☐ Pursue medical device certification (if feasible)
-  * ✓ Seed funding (€500k-1M)
+  * ☐ Expand to humanitarian applications
+  * ☐ Continue open-source development with growing community
-===== Business Model =====
+===== Bill of Materials =====
-**Open-Source Strategy:**
+**Estimated component sources (not final):**
-  * Core hardware/software: MIT/Apache license
-  * Community innovation → rapid iteration
-  * Marketing effect → credibility & visibility
-**Revenue Streams:**
+^ Component Category ^ Examples ^
-  * **Hardware sales:** Certified systems to clinics (€10-20k per unit)
+| 3D printed parts | PETG/ABS filament, printed in-house |
-  * **SaaS subscription:** AI updates, analytics, compliance reporting (€500-1000/month)
+| Motors & actuators | Standard hobby servos or NEMA steppers |
-  * **Consumables:** Sterile single-use attachments, treatment solutions (€30-50 per patient)
+| Electronics | Raspberry Pi 4, Arduino, motor drivers |
-  * **Support contracts:** Training, maintenance, warranty (€200-500/month)
+| Vision | USB camera, Intel RealSense or similar depth sensor |
+| Ultrasonic system | Medical/dental ultrasonic scaler heads |
+| Pumps & dispensers | Peristaltic pumps, syringe pump mechanisms |
+| Sensors | Force sensors, proximity sensors, limit switches |
+| Pneumatics | Small air compressor, tubing, nozzles |
+| Consumables | Saline, antiseptic, medical ointments |
-**Target Markets (prioritized):**
+**Cost target:** Keep total build under €5,000 for full system to enable widespread replication
-  - **Veterinary clinics** (Year 1-2: easier regulation, faster revenue)
-  - **NGO/Field medicine** (Year 2-3: high impact, grant funding)
-  - **Human emergency care** (Year 3+: after CE Mark)
-===== Team & Roles =====
+===== Success Metrics =====
-**Current:**
+**Technical Goals:**
-  * **Founder:** [[user:artem]] (project lead, systems integration)
+  * AI wound assessment accuracy >85%
+  * Treatment cycle time <10 minutes
+  * Zero safety incidents during testing
+  * System replicable by others following documentation
-**Needed:**
+**Community Goals:**
-  * **Robotics engineer** (arm design, motor control)
+  * 2-3 active collaborators by Month 6
-  * **ML engineer** (vision system, AI models)
+  * Full documentation published by Month 12
-  * **Medical advisor** (protocol validation, regulatory guidance)
+  * 3+ external replications by Month 24
-  * **Part-time contributors** (CAD, embedded systems, documentation)
+  * Published validation study (blog/paper/conference)
-**Advisors (future):**
+**Impact Goals:**
-  * Regulatory consultant (medical device certification)
+  * Demonstrate viability of autonomous wound care
-  * Veterinary partner (pilot testing)
+  * Provide accessible healthcare option for underserved areas
-  * VC/business mentor (fundraising strategy)
+  * Inspire similar open-source medical robotics projects
-===== Risks & Mitigation =====
+===== Team & Collaboration =====
-| Risk | Probability | Mitigation |
+**Current Team:**
-|------|-------------|------------|
+  * **Project Lead:** [[user:artem]] (systems integration, project coordination)
-| **Regulatory barriers** | High | Start with veterinary market, lower certification bar |
-| **No clinical partners** | Medium | NGO partnerships, field medicine applications |
-| **Insufficient funding** | Medium | Apply for grants early, bootstrap with vet revenue |
-| **Technical failure** | Low-Medium | Incremental testing, pivot features if needed |
-| **Team attrition** | Medium | Document everything, open-source for continuity |
-| **Market rejection** | Low | Multiple pivots ready (vet, NGO, military) |
-===== Links & Resources =====
+**Looking For:**
+  * **Robotics engineer** — arm design, kinematics, motor control
+  * **ML/AI developer** — vision system, wound classification models
+  * **Medical advisor** — protocol validation, safety review
+  * **Embedded systems** — microcontroller programming, sensor integration
+  * **Documentation** — technical writing, video tutorials, build guides
+  * **Anyone interested!** — part-time contribution welcome
-**Project Resources:**
+**How to Contribute:**
-  * Parent project: [[3d_printed_robotics_initiative]]
+  * Join weekly robotics meetups at Brmlab
-  * GitHub repository: (to be created)
+  * Check GitHub repository (to be created)
-  * Weekly meetings: TBD (part of robotics initiative)
+  * Join #robotics channel on Brmlab communication platform
-  * Communication: Brmlab Slack #robotics
-**Reference Technologies:**
+===== Reference Projects =====
-  * Ultrasonic debridement: SonicOne, UltraMIST, QOUSTIC
-  * AI wound assessment: FDA-approved smartphone apps, academic research
-  * Budget robotic arms: BCN3D Moveo, Thor, SO-ARM100
-  * Medical robotics: da Vinci, STAR robot
-**Funding Sources:**
+**Ultrasonic Wound Technology:**
-  * EU Horizon grants (health innovation)
+  * SonicOne (Misonix) — clinical ultrasonic debridement
-  * Health-tech accelerators (Y Combinator, Startup Health)
+  * UltraMIST — portable ultrasonic wound therapy
-  * Angels (health-tech focus)
+  * QOUSTIC (Söring) — surgical ultrasonic systems
-  * VCs (post-traction)
-===== Open Questions =====
+**AI Wound Assessment:**
+  * FDA-approved smartphone wound apps
+  * Academic research on diabetic ulcer classification
+  * Thermal imaging infection detection studies
-  * Which veterinary clinic in Prague would pilot first?
+**Open-Source Robotic Arms:**
-  * What grants should we target in Q1 2026?
+  * BCN3D Moveo — [[https://github.com/BCN3D/BCN3D-Moveo]]
-  * Should we focus on cats/dogs or larger animals first?
+  * Thor — [[https://github.com/AngelLM/Thor]]
-  * Who knows regulatory consultants for medical devices?
+  * SO-ARM100 — [[https://github.com/TheRobotStudio/SO-ARM100]]
-----
+**Medical Robotics Inspiration:**
+  * da Vinci Surgical System (tool changing mechanisms)
+  * STAR robot (autonomous suturing research)
-**Status:** Planning phase — seeking initial team members and grant opportunities
+===== Safety & Ethics =====
-**Next Steps:**
+**Safety Measures:**
+  * Force-limited actuators to prevent injury
+  * Patient-accessible emergency stop
+  * Human oversight for all treatments
+  * Automatic shutdown on error detection
+  * Sterile single-use tips for wound contact
+**Ethical Principles:**
+  * Clear communication: system is an assistant, not a replacement for physicians
+  * Patient consent required before any treatment
+  * Edge cases automatically referred to human medical staff
+  * Privacy: minimal data collection, no storage without consent
+  * Accessibility: open-source ensures anyone can build and improve
+**Not Intended To:**
+  * Replace physicians or trained medical professionals
+  * Handle complex medical cases
+  * Provide definitive medical diagnoses
+  * Operate without human oversight (initially)
+===== Current Status & Next Steps =====
+**Status:** Planning phase — recruiting initial team
+**Immediate Next Steps:**
   - [ ] Recruit 1-2 collaborators
-  - [ ] Research EU health innovation grants
+  - [ ] Select base robotic arm design (BCN3D Moveo or Thor)
-  - [ ] Design first arm prototype (CAD)
+  - [ ] Source initial components (motors, camera, Raspberry Pi)
-  - [ ] Contact veterinary clinics for pilot interest
+  - [ ] Create synthetic wound models for testing
+  - [ ] Set up GitHub repository
+  - [ ] Schedule first build session
+**First Meeting:** TBD — announce on Brmlab calendar
+===== Discussion =====
+**Questions? Ideas? Want to help?**
+  * Weekly meetings: Part of [[3d_printed_robotics_initiative]] sessions
+  * Online discussion: Brmlab Slack/Discord #robotics
+  * GitHub: (repository link to be added)
+**Open Questions:**
+  * Which robotic arm base should we use?
+  * Anyone have experience with ultrasonic systems?
+  * Contacts at veterinary clinics for future testing?
+  * Tips on medical device regulations in Czech Republic/EU?
+===== Links & Resources =====
+  * Parent project: [[3d_printed_robotics_initiative]]
+  * GitHub repository: (to be created)
+  * Build documentation: (to be created)
+  * Contact: [[user:artem]]
+----
 **Last Updated:** 2026-01-18
+**License:** Hardware designs and software will be released under MIT/Apache 2.0 open-source licenses