mcMotionChallengeGitHub ↗

EVALUATION RECORD

ScaleBFM M

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

Evaluated by MotionChallenge using the shared protocol.

Results

25 / 40motions passedCompletion 77.97%

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
52.4851.621637.6046.8246.451255.57

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
88d5a79946c03ed25503f48b2af71d16290844ef066ca9b6c8fa8dc3837422e3
Evaluation code
MotionChallenge-scalebfm-m
Core
MotionChallenge-Core
Verification
Both trajectory ranges recomputed · repeatability checked
Deployment comparison (reference-root initialization)
160 inputs · 4 resets · Report ↗ · Comparison code ↗

Reproduce this run

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

Runs the full benchmark and verifies the saved trajectories.

Complete results, source & verification (JSON) ↗