Blinkmimic

Blinkmimic is an agent that provides whole-body motion tracking for the Unitree G1 robot.

Blinkmimic provides whole-body motion tracking for the Unitree G1 robot by training policies through backpropagation on imagined rollouts. It runs on mjlab and MuJoCo Warp, optimizing policies via customized resets and CUDA graph acceleration. The tool is designed for robotics researchers and developers working with motion clips and simulation environments. It supports LAFAN1 motion clips as input and generates trained checkpoints and evaluation metrics as output. Compared to baseline methods, it achieves faster training times and higher evaluation returns.

Blinkmimic at a glance

Best for: Software engineer, Researcher
Runs on: Linux, API, self-hosted, open source
Pricing: Free
Released: November 2026
Category: AI agent tool
Website: github.com/fuyichen0725/blinkmimic

Key features

Trains policies via backpropagation through imagined rollouts
Performs evaluation-guided resets to target failure points
Utilizes semi-implicit world model architecture
Executes update loops and CUDA graphs for acceleration
Supports left-right mirror augmentation
Applies Muon optimization on hidden weight matrices

Use it for

Training whole-body motion tracking policies for the Unitree G1
Evaluating motion tracking performance against LAFAN1 clips
Rendering simulation videos from policy evaluations

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