TRIMODAL — RTSG Integration¶

TRIMODAL is the first physical instantiation of RTSG in hardware. The drone does not just move — it instantiates owner intent into physical space. This is CS (Consciousness-Space) acting through a physical substrate.

Three-Space Mapping¶

Tensors¶

SynergyTensor = federated node coherence

components: consensus_coherence, memory_sync_ratio, locomotion_coordination,
            power_balance, comms_quality
scores weighted: 0.25, 0.20, 0.25, 0.15, 0.15
output: synergy_score ∈ [0,1]

ContextualObstruction = environmental resistance

components: thermal, pressure, kinetic, chemical, visibility
output: total_obstruction ∈ [0,1]
effective_capability = P_magnitude × (1 - obstruction × 0.8)

SemanticProjector = mode → meaning

[progress, safety, exploration, efficiency, retreat]
walk:   [0.7, 0.0, 0.0, 0.5, 0.0]
fly:    [1.0, 0.1, 0.8, 0.7, 0.0]
soar:   [0.8, 0.3, 0.7, 1.0, 0.0]
anchor: [0.0, 1.0, 0.5, 0.0, 0.2]

Drive D = owner will projected into locomotion space

Drive D from RTSG maps to: target waypoint + urgency + preferred style
Urgency → locomotion mode selection bias
Style → TRIMODAL behavior (cautious vs bold, direct vs exploratory)

I-Vector Owner Profile¶

I = [I_L, I_M, I_S, I_K, I_N, I_A, I_P, I_IE]

Updated continuously from: - Voice/text interaction logs - Neurosity Crown passive inference - Behavioral patterns (what tasks owner delegates vs handles personally) - Explicit feedback

Shapes TRIMODAL behavior at Level 3-4 autonomy without explicit commands.

Cosmological Framing¶

In RTSG terms: - The drone is a PS (Physical Space) artifact - The owner is a CS (Consciousness-Space) operator
- Drive D is the complexification drive instantiated in physical action - Each TRIMODAL mission is a micro-CS projection: will → motion → change in world - Swarm coordination = emergent Stage 1 CS across multiple physical agents

This is why TRIMODAL is not just a robot — it is the first hardware proof of RTSG.