Strike Robot has open-sourced its humanoid robot simulation platform, making it possible to train and test physical AI directly in a web browser — no GPU, no complex environment setup required.

What It Does

The platform, called Unitree Sim Web, runs the MuJoCo physics engine as WebAssembly inside a standard browser tab. It targets the Unitree G1 humanoid robot and supports real-time joint control, keyframe recording, and playback of full motion sequences.

The standout feature is Humanoid Policy Integration — developers can load pre-trained reinforcement learning control policies and observe them running inside a realistic physics simulation, all client-side. No backend infrastructure needed.

Why It Matters

Getting robotics simulation running has historically required significant GPU hardware and environment configuration overhead. Moving MuJoCo to WebAssembly removes that barrier entirely: a researcher can spin up a simulation, load a policy, and watch it run from any machine with a modern browser.

The full stack — Node.js frontend, MuJoCo WASM physics, and Docker support for stable deployments — is available under an open license. The project also ships a Docker Compose path for teams that prefer containerized setups.

Strike Robot positions the release as part of the broader agentic robotics ecosystem on Virtuals Protocol, hinting at longer-term plans for agent-controlled physical systems.

Getting Started

npm install
npm run build
python3 run_server.py
# → open http://localhost:8000

Or: docker compose up -d