mcMotionChallengeGitHub ↗

EVALUATION RECORD

PMT RGMT Transformer 20k

LAFAN1 × G1 29DoF · Ideal proprioception · no global position

Evaluated by MotionChallenge using the shared protocol.

Results

23 / 40motions passedCompletion 76.28%

Success and completion use the first declared failure. MPBPE measures position errors over the benchmark’s declared body origins, with three alignments over two time ranges.

Mean per-body position error · MPBPE · mm · lower is better
Entire motionUntil first failure
XY onlyXY + yawNo alignmentXY onlyXY + yawNo alignment
282.57125.248038.59195.2141.936966.39

Entire-motion errors include every frame through the endpoint, including post-failure states. The other range ends at the first failing sample, including that sample.

Benchmark
LAFAN1 × G1 29DoF · Ideal proprioception · no global position
Engine
MuJoCo 3.17.0 · official CPU batch
Checkpoint SHA256
38e8070882d9e397a4850a7b76337fb9260155f6dcc1887759db070f2c014f12
Evaluation code
MotionChallenge-pmt-rgmt
Core
MotionChallenge-Core
Verification
Both trajectory ranges recomputed · repeatability checked
Inference comparison
160 inputs · 4 resets · Report ↗ · Comparison code ↗

Reproduce this run

git clone --recurse-submodules https://github.com/MotionChallenge-Project/MotionChallenge-pmt-rgmt.git
cd MotionChallenge-pmt-rgmt
uv sync
uv run evaluate.py

Runs the full benchmark and verifies the saved trajectories.

Complete results, source & verification (JSON) ↗