Each mission is presented as a practical concept sheet:
core principle, device structure, operating loop, and a simplified visual demo.
No graphs, no academic clutter — only what a builder needs.
FormatHomepage + 7 mission sheets Each sheet includes a small demo.
Robot BIOS architecture — safe boot, recovery, AI decision layer.
Key idea: BIOS-like layer for power, safety, recognition, recovery.
1) Enhanced Memory System
A semiconductor-style multi-cell array where storage density does not stay fixed.
Instead, stimulation increases stable states inside the sealed cell stack.
The “memory capacity grows” by controlled stimulation and stabilization loops.
Core Principle
Multi-cell array with sealed material stack.
Stimulation increases stable internal states per cell.
Readout uses state classification (multi-level) rather than pure binary charge.
Device Sketch (Concept)
Top electrode / bottom electrode
Sealed layer: gel-like active medium
State growth: controlled by stimulus + rest + lock cycle
DEMO — “Capacity Growth” by Light Stimulation(visual only: multi-cell states brighten and lock)
2) Multi Logic Semiconductor
A protein-channel-inspired multi-state logic element.
Electrical stimulation changes channel configuration into multiple stable conduction levels.
A chip becomes an array of multi-level cells: not only 0/1, but many logic states.
Core Principle
Protein channel has multiple stable conformations.
Electrical stimulus shifts the state distribution.
DEMO — Electric Stimulus → Multi-State Logic(no graphs; only semiconductor-style multi-cell levels)
3) Fusion Interface (MIC — Multiple Integration of Connection)
A unified connection layer that routes multiple device buses and protocols through one “negotiation core”.
Think: one secure connector language to link sensors, machines, AI modules, and controllers.
Core Principle
Universal negotiation layer: identity, capability, permission.
Single interface bridges multiple buses and formats.
A self-charging module that harvests biological pulse signals, rectifies them, buffers energy,
and outputs stable DC for sensors and micro-systems.
Core Principle
Pulse harvesting (bio-electric source).
Rectifier + buffer capacitor + regulation.
Stable output for low-power devices.
Why It Matters
Always-on sensing with minimal maintenance.
Small autonomous nodes without frequent battery change.
Energy security for distributed systems.
DEMO — Pulse Harvest → Buffer Charge(visual: pulses fill the storage bar)
5) Superintelligent AI-Driven Vehicle
A safety-first autonomy stack: perception, prediction, intention management, and control.
The key is not speed — it is reliable decision loops under uncertainty.
Core Modules
Perception: multi-sensor fusion into a consistent world model.
Prediction: motion forecasts + hazard scoring.
Control: safe trajectories + fail-safe fallback.
Safety Rules
Hard constraints: collision avoidance, speed envelope.
A field-control concept focused on stability and directional vector discipline.
The mission is to define controllable envelopes and prove repeatable vector steering.
Core Principle
Field generation and controlled direction shaping.
Stabilize before thrust: control loops first, power later.
Vector steering via regulated rotation and alignment.
Validation Roadmap
Measure repeatability: same input → same vector.
Noise isolation and safety envelope.
Directional control in 4-axis adjustment.
DEMO — Vector Field Steering(visual: field lines align and push direction)
7) Mega Robot
A Robot BIOS architecture that sits below high-level AI.
It governs safe boot, recognition, power gating, fault recovery, and minimal survival motion.
The BIOS is the robot’s “truth layer”.
BIOS Layers
Power & Safety Gate
Hardware Recognition
Recovery & Rollback
AI Decision Layer (bounded)
Boot / Recovery
Boot states: INIT → CHECK → ARM → READY
Fault states: WARN → SAFE → RECOVER
Always keep minimal control alive.
DEMO — Robot BIOS State Console(visual: state transitions + safety gates)