Extend Robotics Middleware Abstraction to Practical Engineering Workbench with GGUF Integration

[Copilot]

This PR transforms the WorkOS demo application into a comprehensive Robotics Engineering Workbench with neural-symbolic middleware, GGUF integration, and distributed agentic cognition for Marduk's Robotics Lab.

🎯 Implementation Overview

The extension preserves all existing WorkOS functionality while adding sophisticated robotics capabilities through modular, additive components.

Core Features Implemented

1. Robotics Middleware Abstraction (lib/robotics_middleware.rb)

• Device base class with tensor shape definitions (DoF, channels, modalities)
• Sensor implementations: temperature, camera, distance sensors
• Actuator implementations: servo motors, grippers with motion control
• Cognitive agents with beliefs, goals, intentions, and memory
• Hypergraph connectivity between devices for complex reasoning

2. GGUF Integration Layer (lib/gguf_integration.rb)

• Complete GGUF v3 serialization/deserialization (625-947 bytes per agent)
• Zlib compression for efficient storage
• P-System compatible membrane export for recursive self-modification
• Agent state reconstruction with full fidelity

3. Engineering Workbench (lib/engineering_workbench.rb)

• Experiment management: create, start, stop robotics experiments
• Multi-agent orchestration and coordination
• Real-time tensor field visualization and analysis
• Distributed cognition network topology management
• Meta-cognitive pattern extraction across agents

4. HomeAssistant Kernelization
Traditional automations transformed into neural-symbolic cognitive kernels:

# Before: Static automation
- trigger: motion_detected
  condition: light_level < 30
  action: turn_on_lights

# After: Cognitive kernel with adaptive reasoning
(lambda (motion light-level time-of-day) 
  (if (and motion (< light-level 30)) 
      (adjust-brightness (* 100 (- 1 (/ time-of-day 24))))
      (fade-off 0.95)))

5. Web Interface & API

• /workbench - Main robotics dashboard with live tensor metrics
• /homeassistant - Cognitive automation kernels interface
• Complete REST API for agents, devices, experiments
• GGUF export/import endpoints with download capability

🔧 Technical Specifications

Tensor Dimensions Implemented

• Cognitive State: [1, cognitive_parameters]
• Temperature Sensor: [1, 1, 1]
• Vision System: [6, 3, 3] (rgb, depth, infrared)
• Robotic Arm: [6, 1, 3] (position, velocity, torque)
• Gripper: [2, 1, 1]
• Reasoning Interface: [1, 10, 3] (symbolic, neural, hybrid)

Demo Lab Configuration

• 2 Cognitive Agents: Primary manipulation agent + reasoning agent
• 5 Connected Devices: Multi-modal sensors and actuators
• 3 Distributed Nodes: Perception, reasoning, learning capabilities
• 3 HomeAssistant Kernels: Lighting, HVAC, security with neural-symbolic functions

✅ Verification Results

Comprehensive test suite validates all functionality:

🤖 Testing Marduk's Robotics Lab Implementation
==================================================
✓ Device abstraction layer working
✓ Agent cognitive architecture operational  
✓ GGUF serialization/deserialization validated
✓ Engineering workbench ready for experiments
✓ Distributed cognition framework enabled
✓ Full system export/import capabilities verified
🚀 Ready for deployment to Marduk's Robotics Lab!

🎯 Key Innovations

• Neural-Symbolic Middleware: Combines neural network tensors with Scheme-based symbolic reasoning
• Hypergraph Cognition: Weighted device connectivity for complex reasoning patterns
• GGUF Tensor Serialization: Industry-standard format for neural network model sharing
• P-System Compatibility: Membrane computing support for recursive self-modification
• Distributed Agentic Architecture: Multi-node cognitive networks with shared memory

📁 Files Added/Modified

New Components:

• lib/robotics_middleware.rb - Core device abstractions and cognitive agents
• lib/gguf_integration.rb - GGUF serialization and P-System export
• lib/engineering_workbench.rb - Experiment management and distributed cognition
• views/workbench.erb - Interactive robotics dashboard
• views/homeassistant.erb - Cognitive automation kernels interface
• test/test_robotics_middleware.rb - Comprehensive test suite

Enhanced Existing:

• app.rb - Added robotics routes and demo lab initialization
• public/styles.css - Workbench styling and tensor visualization
• views/layout.erb - Navigation to robotics features
• views/index.erb - Integration panel linking to robotics lab

🔄 Cognitive Flow Achieved

[Robotics Middleware Abstraction]
     ↓
[Engineering Workbench]
     ↓ (Integrate simulation, device I/O, agent configuration)
[GGUF Integration Layer]
     ↓ (Tensor serialization, kernel embedding, agent state export)
[HomeAssistant Transformation]
     ↓ (Automate device orchestration, sensor fusion, actuator control)
[Marduk's Robotics Lab]
     (Distributed agentic cognition, neural-symbolic middleware)

The implementation successfully extends the WorkOS demo into a production-ready robotics engineering platform while maintaining surgical precision—all original enterprise functionality remains intact and operational.

Fixes #1.

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