AdrianLlopart's picture
chore: publish rSkill OpenRAL/rskill-diffusion-pusht v0.1.0
59e3f25 verified

rskills/diffusion-pusht/eval/ — benchmark results

pusht.json is the PushT mean-coverage-IoU benchmark result block for this rSkill. Validated against openral_core.RSkillEvalResult at load time by the rSkill loader and surfaced by openral benchmark report.

Field Value
Source Chi et al., 2023 — Diffusion Policy: Visuomotor Policy Learning via Action Diffusion (arxiv:2303.04137)
Benchmark PushT (gym_pusht/PushT-v0, pymunk 2-D rigid-body)
Robot PushT 2-D pseudo-robot (single 2-D end-effector tip)
Reproduced locally? ✗ — paper-only. tests/sim/test_pusht_2d_diffusion_pusht.py runs a single episode for IO + latency + VRAM verification.
Reproduce just sim-diffusion-pusht (single episode); raise --n-episodes 50 for the full paper protocol.