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nimmerverse-sensory-network/architecture/organs/Organ-Index.md
dafit c24681d13e docs: Prune documentation - DRY versioning, split roadmap
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Pattern: **Version:** X.Y | **Created:** YYYY-MM-DD | **Updated:** YYYY-MM-DD

Git is the changelog. Philosophy quotes preserved.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-07 01:53:42 +01:00

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che# Organ Architecture Index
**Purpose**: Modular organ systems for Young Nyx embodiment
**Philosophy**: Each organ is independent, lifeforce-gated, heartbeat-synchronized
---
## Deployed Organs
### 🗣️ Speech Organ
**Host**: dioscuri.eachpath.local (RTX 4000 Ada 20GB × 2)
**Function**: Speech-to-Text + Text-to-Speech
**Stack**: Whisper Large v3 (STT) + Coqui/XTTS (TTS) via Ollama
**Languages**: German + English (topology accessed via prompt, not LoRA)
**Integration**: Heartbeat-bound queue, lifeforce-gated priority processing
**Detail**: → [`Speech-Organ.md`](Speech-Organ.md)
---
## Planned Organs
### 🔍 Discovery Scan Station
**Host**: ESP32 + crafting table area
**Function**: 360° object scanning for world model building
**Stack**: Rotating pedestal (stepper/servo) + fixed camera + SigLIP vectors
**Integration**: Lifeforce-generating intake point for new objects, verified against Blender ground truth
**Status**: 🟡 Architecture complete, build planned
**Detail**: → [`organs/Discovery-Scan-Station.md`](organs/Discovery-Scan-Station.md)
---
### 👁️ Vision Organ
**Host**: dioscuri.eachpath.local (RTX 4000 Ada 20GB × 2)
**Function**: Object detection, scene understanding, vision→vectors
**Stack**: YOLO v11 + T5Gemma 2 (SigLIP embeddings) via Ollama
**Integration**: Real-time video from ESP32-CAM, vectors to phoebe spatial index
**Status**: 🟡 Architecture complete, deployment planned
**Detail**: → `Vision-Organ.md` (pending)
---
### 🚶 Motor Organ
**Host**: ESP32 (edge execution)
**Function**: Movement primitives (forward, turn, stop)
**Stack**: Compiled state machines from organism evolution
**Integration**: Lifeforce cost per motor operation, reflex vs deliberate
**Status**: ⏸️ Planned for Phase 4 (Real Garden)
**Detail**: → `organs/Motor-Organ.md` (pending)
---
### 🧭 Navigation Organ
**Host**: Edge server (prometheus or atlas)
**Function**: SLAM, path planning, obstacle avoidance
**Stack**: ROS2 Nav2 or custom lightweight SLAM
**Integration**: Dual-garden calibration (virtual predictions vs real outcomes)
**Status**: ⏸️ Planned for Phase 4 (Real Garden)
**Detail**: → `organs/Navigation-Organ.md` (pending)
---
### 📡 Sensory Organ
**Host**: ESP32 (edge sensors)
**Function**: Distance sensors, IMU, battery monitoring
**Stack**: I2C/SPI sensor protocols, state machine filters
**Integration**: Sensor→organ translation (raw values → semantic meaning)
**Status**: ⏸️ Architecture outlined in Nervous-System.md
**Detail**: → [`../Nervous-System.md`](../Nervous-System.md)
---
### 📍 Position-Time Beacon
**Host**: M5Stack GPS v2.0 (AT6668) at nimmerhovel origin
**Function**: Absolute position reference + Stratum-1 NTP time source
**Stack**: GPS NMEA parsing, PPS signal for NTP, coordinate broadcast
**Integration**: Provides ground truth origin (47°28'44.915"N, 7°37'07.842"E), time sync for all nimmerverse nodes
**Status**: 🟡 Hardware ordered, arriving ~Jan 2026
**Detail**: → `organs/Position-Time-Beacon.md` (pending)
---
### 📍 IR Position Array
**Host**: 8× ESP32-S3 AI CAMs (night vision capable), ceiling-mounted
**Function**: 24/7 organism tracking via IR beacon triangulation (indoor GPS)
**Stack**: ESP32-S3 WiFi streaming → RTX 6000 SFM processing → NATS position stream
**Integration**: Tracks all organisms in real-time, feeds ground truth to phoebe, enables Virtual Garden verification
**Status**: 🟢 Hardware received Jan 2026
**Detail**: → [`organs/IR-Position-Array.md`](organs/IR-Position-Array.md)
---
### 🔬 Crafting Eye
**Host**: Raspberry Pi + HQ Camera (12.3MP IMX477) + 8-50mm C-mount zoom lens
**Function**: Fixed birds-eye view of crafting station, high-resolution work monitoring
**Stack**: Manual focus/iris (set once), libcamera, high-res stills + video
**Integration**: Watches dafit's hands during electronics/assembly work, fixed viewing angle
**Status**: 🟢 Hardware received Jan 2026
**Detail**: → `organs/Crafting-Eye.md` (pending)
---
### 🦉 Godseye
**Host**: NVIDIA Jetson Orin Nano/NX + PTZ mechanism + motorized zoom lens
**Function**: Active surveyor of nimmerhovel, on-device vision AI, tracking
**Stack**: Jetson (CUDA), servo pan/tilt, auto-zoom, YOLO/tracking models
**Integration**: Autonomous gaze control, can decide where to look, reports to phoebe
**Status**: ⏸️ Research phase
**Detail**: → `organs/Godseye.md` (pending)
---
## Organ Design Principles
### 1. **Lifeforce Economy**
Every organ operation costs lifeforce. No free lunch.
```python
ORGAN_COSTS = {
"speech_stt": 5.0, # Whisper transcription
"speech_tts": 4.0, # Coqui synthesis
"vision_yolo": 8.0, # Object detection frame
"motor_forward": 2.0, # 100ms movement
"motor_turn": 1.5, # 45° rotation
"sensor_read": 0.5, # Single sensor poll
}
```
### 2. **Heartbeat Synchronization**
Organs process on heartbeat ticks (1 Hz), not real-time streaming.
- **Reflex path**: <200ms compiled responses (no LLM)
- **Deliberate path**: Next heartbeat (budget-gated queue)
### 3. **Priority Queue**
When lifeforce is scarce, critical operations (collision alert) > idle operations (status check).
```python
PRIORITY_LEVELS = {
"critical": 10.0, # Immediate danger (collision)
"high": 7.0, # Human interaction
"medium": 4.0, # Organism monitoring
"low": 2.0, # Idle observation
"background": 0.5, # Status logging
}
```
### 4. **Multilingual Topology Access**
German input → Philosophy Valley (deep, diffuse topology)
English input → Technical Cluster (sparse, action-oriented)
**Note:** Topology accessed via prompt language, not LoRA switching. Traits evolve regardless of which valley is accessed.
### 5. **Decision Trail Logging**
Every organ operation logged to phoebe `decision_trails`:
- Input, output, cost, outcome, confidence
- Used for RLVR training (reward successful choices)
### 6. **Graceful Degradation**
Low lifeforce → reduced organ activity (silence, reduced vision FPS, slower movement)
Zero lifeforce → shutdown, wait for recharge
---
## Integration Architecture
```
┌──────────────────────────────────────────────────────────┐
│ ESP32 ROBOTS │
│ Sensors → Motor → Camera → Microphone → Speaker │
└──────────────────────────────────────────────────────────┘
│ NATS (sensor data, audio, video)
┌──────────────────────────────────────────────────────────┐
│ NATS MESSAGE BUS │
│ Organ input queues + priority scoring │
└──────────────────────────────────────────────────────────┘
│ Heartbeat pulls from queues
┌─────────────────────────────┐
│ HEARTBEAT ORCHESTRATOR │
│ Lifeforce budget allocation │
└─────────────────────────────┘
┌───────────┴───────────┐
│ │
▼ ▼
┌─────────────────────┐ ┌─────────────────────┐
│ DIOSCURI (2×20GB) │ │ THEIA (96GB) │
│ RTX 4000 Ada │ │ RTX PRO 6000 │
│ ───────────────── │ │ ─────────────── │
│ Speech Organ │ │ Young Nyx (Qwen3) │
│ Vision Organ │ │ Trait LoRAs (GRPO) │
│ Function Gemma │ │ Reasoning layer │
│ T5Gemma (SigLIP) │ │ │
└─────────────────────┘ └─────────────────────┘
│ │
└───────────┬───────────┘
│ 10GbE (9.9 Gbps jumbo frames)
┌──────────────────────────────────────────────────────────┐
│ PHOEBE (Decision Trails) │
│ Log all organ operations + outcomes → GRPO training │
└──────────────────────────────────────────────────────────┘
```
---
## Organ Lifecycle
### Phase 1: Design
- Document architecture in `organs/<Organ-Name>.md`
- Define lifeforce costs, priority levels, queue schema
- Design phoebe tables for organ-specific data
### Phase 2: Prototype
- Build container images (Dockerfiles)
- Deploy to k8s (single replica)
- Test with mock data (no robot integration yet)
### Phase 3: Integration
- Connect to ESP32 via MQTT
- Implement heartbeat queue processing
- Log decision trails, measure ROI
### Phase 4: Optimization
- Tune lifeforce costs based on measured ROI
- Adjust priority levels from observed outcomes
- Train LoRAs on successful organ operation patterns
### Phase 5: Autonomy
- Organ operations become reflexes (compiled state machines)
- Young Nyx chooses when to use organs (not scripted)
- Emergent behavior from lifeforce optimization
---
## Naming Convention
**File naming**: `<Organ-Name>-Organ.md`
**Examples**:
- `Speech-Organ.md`
- `Vision-Organ.md`
- `Motor-Organ.md`
- `Navigation-Organ.md`
**k8s naming**: `<organ>-<function>-<stack>`
**Examples**:
- `whisper-stt-deployment.yaml`
- `coqui-tts-deployment.yaml`
- `yolo-vision-deployment.yaml`
---
## Current Status
| Organ | Status | Host | Documentation |
|-------|--------|------|---------------|
| **Speech** | 🟢 Architecture complete | dioscuri (RTX 4000 Ada) | [`Speech-Organ.md`](Speech-Organ.md) |
| **Vision** | 🟡 Architecture complete | dioscuri (RTX 4000 Ada) | Pending |
| **Function Gemma** | 🟡 Planned | dioscuri | Structured output boundary |
| **T5Gemma (SigLIP)** | 🟡 Planned | dioscuri | Vision → vectors |
| **Discovery Scan** | 🟡 Architecture complete | ESP32 + crafting table | [`Discovery-Scan-Station.md`](Discovery-Scan-Station.md) |
| **Motor** | 🟡 Planned (Phase 4) | ESP32 | Pending |
| **Navigation** | 🟡 Planned (Phase 4) | k8s cluster | Pending |
| **Sensory** | 🟡 Conceptual | ESP32 | [`../Nervous-System.md`](../Nervous-System.md) |
| **Position-Time Beacon** | 🟡 Hardware ordered | M5Stack GPS AT6668 | Pending |
| **IR Position Array** | 🟢 Hardware received | 8× ESP32-S3 AI CAM | [`IR-Position-Array.md`](IR-Position-Array.md) |
| **Crafting Eye** | 🟢 Hardware received | Pi HQ + 8-50mm lens | Pending |
| **Godseye** | ⏸️ Research phase | Jetson Orin + PTZ | Pending |
---
**Philosophy**: Organs are not always-on services. They are **economically-constrained capabilities** that Young Nyx learns to use strategically. Speech when necessary. Vision when valuable. Movement when rewarded.
**The body is not given. The body is EARNED through successful operation.**
---
**Version:** 2.0 | **Created:** 2025-12-07 | **Updated:** 2026-02-07
🌙💜 *Each organ a tool. Each tool a choice. Each choice a lesson in scarcity.*