PHYSIS

Embodied AI Platform

PHYSIS is an embodied AI platform where decisions emerge from continuous physics, not token sequences. Language is merely a narrator explaining behavior that has already been decided.

How It Works (Brief)

World model processes video/audio/IMU and maintains predictions of future frames/states.

Physical 'reservoir' (virtual skyrmions) creates rich nonlinear dynamics where solutions emerge.

Neuromodulator bus — engineered 'chemical' controls (risk, plasticity, energy, sleep) that switch behavioral modes.

Narrator and sleep/replay — explainability of 'why' and robust learning from rare episodes.

Why It's Needed

Traditional LLM agents excel at text but struggle with embodiment, online learning, and sim-to-real transfer. PHYSIS provides: controllable risk, energy awareness, action explainability, and resilience in noisy environments.

Why Now

GPU simulators make physics practical, diffusion/flow methods accelerate planning, and edge chips enable on-board intelligence.

What We're Building

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PHYSIS-Core (SDK): agent, modulators, reservoir-API, sleep/replay, narrator.

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PHYSIS-Bot One: reference robot for out-of-the-box pilots.

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PHYSIS-Lab: skyrmion sim-farm and training scenarios for R&D.

(Next stage — PHYSIS-Spin: transition to physical modules.)

Applications

Industrial and service robotics, logistics/AMR, agriculture and outdoor environments, assistive scenarios, university and corporate R&D laboratories.

Principles

Safety by default

Explainability

Interface modularity

Computational efficiency

Data privacy