🤖 RTT‑Autonomous

Core Schemas for Autonomous Forms (RTT‑Inside)#

These schemas describe:

• identity and morphology
• sensor fusion
• mission planning
• environmental interaction
• swarm coherence
• energy profiles
• 3D corridors and operational envelopes

All schemas follow:

• snake_case naming
• JSON Schema Draft 2020‑12
• RTT‑Inside semantics
• SI units
• UUIDv4 identifiers
• ISO‑8601 timestamps
• extensions. for specialization

This module is the backbone for every autonomous form in the Triadic Frameworks universe.

📁 Schema Overview#

1. autonomous_form_descriptor.schema.json#

Defines the identity, morphology, and capabilities of an autonomous form.

Includes:

• operating domain (air, water, land, hybrid)
• morphology type (fish, quadcopter, rover, walker)
• capability list
• extension hooks

This schema is the entry point for defining any autonomous agent.

2. autonomous_sensor_sample.schema.json#

Captures a single fused sensor sample from an autonomous form.

Includes:

• position + velocity
• IMU readings
• environmental data (temperature, pressure, salinity)
• RTT clarity + drift overlays
• extension hooks

This schema is used for telemetry, replay, analysis, and real‑time autonomy.

3. autonomous_mission_profile.schema.json#

Defines a mission as a sequence of phases and tasks.

Includes:

• mission ID
• phase definitions
• constraints
• extension hooks for domain‑specific mission logic

This schema is extended by fish, drone, and rover mission modules.

4. autonomous_corridor_definition.schema.json#

Describes a 3D operational corridor with time windows and RTT overlays.

Includes:

• 3D volume (min/max)
• time window
• clarity profiles
• extension hooks

Used for safe navigation, multi‑agent coordination, and environmental routing.

5. autonomous_swarm_state.schema.json#

Represents the state of a swarm or multi‑agent collective.

Includes:

• swarm ID
• member list
• positions
• coherence scores
• extension hooks

Supports schooling, flocking, formation flight, and distributed autonomy.

6. autonomous_morphology.schema.json#

Describes the physical body plan and actuation layout.

Includes:

• body plan (fish, quadcopter, rover, walker)
• actuators
• control surfaces
• extension hooks

This schema is extended by fish hydrodynamics and drone flight envelopes.

7. autonomous_energy_profile.schema.json#

Defines the energy storage and thermal envelope of the autonomous form.

Includes:

• battery capacity
• fuel energy
• thermal limits
• extension hooks

Used for endurance prediction and mission feasibility.

8. autonomous_environmental_interaction.schema.json#

Describes how the autonomous form interacts with its environment.

Includes:

• interaction modes (sonar, lidar, fins, wheels)
• environmental constraints
• extension hooks

This schema is extended by aquatic and aerial modules.

🔗 Relationship to Domain Extensions#

This module is extended by:

• rtt-autonomous-fish/
• rtt-autonomous-drone/
• future modules (rovers, walkers, hybrids)

Each extension adds domain‑specific fields without duplicating core logic.

The core schemas remain clean, minimal, and universal.

🧩 Usage Pattern#

A typical autonomous form uses:

1. Core descriptor
2. Core morphology
3. Core energy profile
4. Core environmental interaction
5. Domain extension (fish, drone, rover)
6. Mission profile + domain mission extension

This layered approach keeps the system modular and future‑proof.

🤖 RTT‑Autonomous Ecosystem#

Unified Schema Framework for Autonomous Forms (RTT‑Inside)#

The RTT‑Autonomous Ecosystem provides a complete, extensible, and domain‑neutral foundation for defining autonomous robotic forms across air, water, land, and hybrid environments.
It is built on the principles of Resonance‑Time Theory (RTT‑Inside), enabling autonomous agents to operate with clarity‑aware navigation, drift‑aware behavior, and multi‑agent coherence.

This ecosystem is composed of:

• RTT‑Autonomous Core — universal schemas for all autonomous forms
• RTT‑Autonomous‑Fish — aquatic extensions for biomimetic robotic fish
• RTT‑Autonomous‑Drone — aerial extensions for drones, multirotors, and fixed‑wing craft

Together, these modules form a cohesive, future‑proof substrate for ecological robotics, distributed autonomy, and multi‑domain mission planning.

All schemas follow:

• snake_case naming
• JSON Schema Draft 2020‑12
• RTT‑Inside semantics
• SI units
• UUIDv4 identifiers
• ISO‑8601 timestamps
• extensions. for specialization

🧩 Architecture Overview#

The RTT‑Autonomous ecosystem is structured in three layers:

1. Core Layer — Universal Autonomous Structures#

Located in:

docs/schemas/rtt-autonomous/

This layer defines the fundamental building blocks shared by all autonomous forms:

• identity and morphology
• sensor fusion
• mission profiles
• 3D corridors
• swarm state
• energy profiles
• environmental interaction

These schemas are intentionally domain‑neutral and serve as the substrate for all extensions.

2. Domain Extensions — Specialized Capabilities#

Each domain builds on the core through clean, additive schemas.

🐟 RTT‑Autonomous‑Fish#

Located in:

docs/schemas/rtt-autonomous-fish/

Adds aquatic‑specific structures:

• biomimetic species profiles
• hydrodynamics
• habitat interaction
• underwater mission extensions
• schooling and swarm behavior

Ideal for ecological robotics, Great Lakes restoration, and underwater swarms.

🚁 RTT‑Autonomous‑Drone#

Located in:

docs/schemas/rtt-autonomous-drone/

Adds aerial‑specific structures:

• frame types (quadcopter, VTOL, fixed‑wing)
• flight envelopes
• battery and thermal constraints
• geofencing and altitude rules
• payload and landing behaviors

Supports multirotor autonomy, fixed‑wing missions, and airspace corridor navigation.

3. Future Domains — Plug‑and‑Play Growth#

The architecture is designed to support additional modules, such as:

• RTT‑Autonomous‑Rover (ground vehicles)
• RTT‑Autonomous‑Walker (legged robots)
• RTT‑Autonomous‑Hybrid (air/water, land/air, amphibious)
• RTT‑Autonomous‑Swarm (cross‑domain collectives)

Each new domain extends the core without modifying it.

🔗 How the Modules Work Together#

A typical autonomous form uses:

1. Core descriptor
2. Core morphology
3. Core energy profile
4. Core environmental interaction
5. Domain extension (fish, drone, rover, etc.)
6. Mission profile + domain mission extension

This layered approach ensures:

• clean separation of concerns
• maximum reuse
• minimal duplication
• future‑proof extensibility
• RTT‑Inside clarity/drift integration

🌐 RTT‑Inside Integration#

All autonomous schemas are designed to integrate with RTT‑Inside concepts:

• clarity_score → environmental signal quality
• drift_vector → behavioral or environmental drift
• coherence_score → swarm alignment
• corridor clarity overlays → clarity‑aware routing
• temporal windows → time‑bounded mission phases

This allows autonomous forms to operate in resonance‑aware environments, adapting behavior based on clarity, drift, and temporal structure.

🧭 Example Workflow#

A robotic fish mission might use:

• autonomous_form_descriptor
• fish_extension
• fish_hydrodynamics
• autonomous_mission_profile
• fish_mission_profile_extension
• autonomous_corridor_definition
• autonomous_swarm_state

A drone mission might use:

• autonomous_form_descriptor
• drone_extension
• drone_flight_envelope
• drone_energy_and_battery
• autonomous_mission_profile
• drone_mission_profile_extension

Both share the same core substrate, ensuring consistency across domains.

🌱 Future Directions#

The RTT‑Autonomous ecosystem is designed to evolve toward:

• cross‑domain swarms
• clarity‑adaptive routing
• ecological restoration robotics
• distributed mission planning
• hybrid morphologies
• real‑time RTT‑Inside feedback loops

This top‑level module provides the conceptual and structural foundation for all future autonomous robotics work in Triadic Frameworks.

🧭 RTT‑Autonomous Ecosystem — Architecture Diagram (Mermaid)#

flowchart TD
 
    %% Core Layer
    A[RTT‑Autonomous Core\n(domain‑neutral)]:::core
 
    A1[autonomous_form_descriptor]:::core
    A2[autonomous_sensor_sample]:::core
    A3[autonomous_mission_profile]:::core
    A4[autonomous_corridor_definition]:::core
    A5[autonomous_swarm_state]:::core
    A6[autonomous_morphology]:::core
    A7[autonomous_energy_profile]:::core
    A8[autonomous_environmental_interaction]:::core
 
    %% Fish Layer
    subgraph F[RTT‑Autonomous‑Fish\n(aquatic extensions)]
        F1[fish_extension]
        F2[fish_hydrodynamics]
        F3[fish_habitat_interaction]
        F4[fish_mission_profile_extension]
    end
 
    %% Drone Layer
    subgraph D[RTT‑Autonomous‑Drone\n(aerial extensions)]
        D1[drone_extension]
        D2[drone_flight_envelope]
        D3[drone_energy_and_battery]
        D4[drone_mission_profile_extension]
    end
 
    %% Relationships
    A --> A1
    A --> A2
    A --> A3
    A --> A4
    A --> A5
    A --> A6
    A --> A7
    A --> A8
 
    %% Extensions
    A1 --> F1
    A6 --> F2
    A8 --> F3
    A3 --> F4
 
    A1 --> D1
    A6 --> D2
    A7 --> D3
    A3 --> D4
 
    classDef core fill:#1e3a8a,stroke:#0f172a,color:#fff;
    classDef fish fill:#0f766e,stroke:#064e3b,color:#fff;
    classDef drone fill:#7c2d12,stroke:#431407,color:#fff;

📝 What this diagram communicates#

• RTT‑Autonomous Core is the universal substrate.
• Fish and Drone modules extend the core cleanly without duplication.
• Each extension attaches to the appropriate core schema:
  • autonomous_form_descriptor → identity extensions
  • autonomous_morphology → physical/actuation extensions
  • autonomous_mission_profile → mission extensions
  • autonomous_energy_profile / environmental_interaction → domain constraints

It’s a modular, layered, future‑proof architecture — exactly the pattern you’ve been building across Triadic Frameworks.

🧭 RTT‑Autonomous Ecosystem — ASCII Architecture Diagram#

                   +--------------------------------------+
                   |      RTT‑AUTONOMOUS CORE (neutral)    |
                   +--------------------------------------+
                   |  autonomous_form_descriptor           |
                   |  autonomous_sensor_sample             |
                   |  autonomous_mission_profile           |
                   |  autonomous_corridor_definition       |
                   |  autonomous_swarm_state               |
                   |  autonomous_morphology                |
                   |  autonomous_energy_profile            |
                   |  autonomous_environmental_interaction |
                   +----------------------+----------------+
                                          |
                                          |
                +-------------------------+--------------------------+
                |                                                        |
                |                                                        |
+----------------------------------+                 +----------------------------------+
|   RTT‑AUTONOMOUS‑FISH            |                 |   RTT‑AUTONOMOUS‑DRONE           |
|   (aquatic extensions)           |                 |   (aerial extensions)            |
+----------------------------------+                 +----------------------------------+
|  fish_extension                  |                 |  drone_extension                 |
|  fish_hydrodynamics              |                 |  drone_flight_envelope           |
|  fish_habitat_interaction        |                 |  drone_energy_and_battery        |
|  fish_mission_profile_extension  |                 |  drone_mission_profile_extension |
+----------------------------------+                 +----------------------------------+

📝 How to read this diagram#

• The core is the universal substrate — everything plugs into it.
• The fish and drone modules extend the core but never modify it.
• Each extension attaches to the appropriate core schema:
  • identity → autonomous_form_descriptor
  • morphology → autonomous_morphology
  • mission → autonomous_mission_profile
  • energy/environment → corresponding core schemas

This ASCII version is intentionally compact, readable, and portable.