mcMotionChallengeGitHub ↗

EVALUATION RECORD

TeleopIT G1

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

Evaluated by MotionChallenge using the shared protocol.

Results

23 / 40motions passedCompletion 77.81%

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
125.68114.651828.3553.1952.051398.92

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
1ebd341d9193e1c49a986450f6043ba1a9473ad46636ce0bcb1c7755c856e0de
Evaluation code
MotionChallenge-teleopit
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-teleopit.git
cd MotionChallenge-teleopit
uv sync
uv run evaluate.py

Runs the full benchmark and verifies the saved trajectories.

Complete results, source & verification (JSON) ↗