mcMotionChallengeGitHub ↗

MODEL / CHECKPOINT

Tsinghua / RobotEra / SQZ

Model

Checkpoint artifacts and an independent MotionChallenge inference adapter.

Organization
Tsinghua / RobotEra / SQZ
Type
Dense
Dense policy with fully connected layers and normalized hidden features.
Version
SHA 192aaacc
checkpoint SHA256
Robot support
Unitree G1 · 29 DoF
Author source revision
0d5ba31e33397f3543d350d98b637e26d92f470a

Checkpoint artifacts

Author release
Axellwppr/motion_tracking ↗
Artifact type
Author weights with verified input wrapper
Original file
G1_PMG/policy.onnx + policy.onnx.data ↗

The distributed single-file ONNX adds one input Concat. All 33 initializer tensors and all 29 native graph nodes are preserved exactly; action outputs matched on 100 random input cases (maximum absolute error 0). This checks the checkpoint wrapper, not full controller/reset parity.

Checkpoint comparison ↗

Download links deliver the adapter files. The release links and verification notes distinguish author files from conversions; SHA256 identifies the bytes used.

Policy checkpoint
Download ↗
192aaacc49ce066b85bdc9822bc35eca9ae21b8efc8371c089f7bc0077a86791

Inference interface

The adapter declares its control clock and reference window below. Source and configuration describe the observation and action transforms.

Observation requirements

Observation rules ↗

Model-specific handling

Released actor uses joint state, angular velocity/gravity or orientation and reference features. Retain author normalization, history/recurrent state, action processing and declared lookahead; validate numerical independence from actual translation.

Exact checkpoint & evidence ↗
Control interval
20 ms
Reference history
320 ms
Reference preview
120 ms
Output interface
joint-pd-feedforward
Configuration
policy.json

Evaluations