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21.5
59
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19 classes
020260819T141734294652
020260819T141734294652
120260819T142121370460
120260819T142121370460
220260819T142442684386
220260819T142442684386
320260819T142551683883
320260819T142551683883
1420260819T144123597533
1420260819T144123597533
1520260819T144232550888
1520260819T144232550888
1620260819T144341636823
1620260819T144341636823
1720260819T144450765826
1720260819T144450765826
1820260819T144559646815
1820260819T144559646815
420260819T143034491520
420260819T143034491520
520260819T143110125426
520260819T143110125426
620260819T143212353645
620260819T143212353645
720260819T143253960183
720260819T143253960183
820260819T143403127827
820260819T143403127827
920260819T143543050023
920260819T143543050023
1020260819T143652023943
1020260819T143652023943
1120260819T143802580789
1120260819T143802580789
1220260819T143914019393
1220260819T143914019393
1320260819T144006254729
1320260819T144006254729

YAM rollout log

Generated 2026-08-19 14:51.

A grasp means the measured gripper closed below 0.16 m and then lifted more than 5 cm while still closed. Closing in mid-air does not count.

data/pick200-ee-vrkit

2/4 grasps.

0/1ckpt_path=deploy_ema.ckpt policy=bspline control_freq=100.0 data_freq=10.0 origin_time_scale=10.0 num_inference_steps=8 predict_before_end=0.7 speed_up_times=1.0 max_steps=3000 device=cpu
episode dur (s) grasp z@close lift stall % speed (rad/s)
20260819T141734294652 29.3 no nan 0.176
/home/yambox/bspline-policy/.venv/bin/python real_env/yam_teleop/rollout_local_policy.py --env yam-vrkit --policy bspline --ckpt-path /home/yambox/bspline-policy/ckpt_pick200_ee/deploy_ema.ckpt --diffusion-policy-dir /home/yambox/bspline-policy/diffusion_policy --device cpu --control-freq 100 --data-freq 10 --origin-time-scale 10 --num-inference-steps 8 --predict-before-end 0.7 --speed-up-times 1.0 --max-steps 3000 --num-episodes 10 --save --output-dir data/pick200-ee-vrkit
1/1ckpt_path=deploy_ema.ckpt policy=bspline control_freq=100.0 data_freq=10.0 origin_time_scale=10.0 num_inference_steps=16 predict_before_end=0.7 speed_up_times=1.4 max_steps=6000 device=cpu
episode dur (s) grasp z@close lift stall % speed (rad/s)
20260819T142121370460 21.4 yes 0.114 0.136 nan 0.541
/home/yambox/bspline-policy/.venv/bin/python real_env/yam_teleop/rollout_local_policy.py --env yam-vrkit --policy bspline --ckpt-path /home/yambox/bspline-policy/ckpt_pick200_ee/deploy_ema.ckpt --diffusion-policy-dir /home/yambox/bspline-policy/diffusion_policy --device cpu --control-freq 100 --data-freq 10 --origin-time-scale 10 --num-inference-steps 16 --predict-before-end 0.7 --speed-up-times 1.4 --max-steps 6000 --num-episodes 10 --save --output-dir data/pick200-ee-vrkit
1/2ckpt_path=deploy_ema.ckpt policy=bspline control_freq=100.0 data_freq=10.0 origin_time_scale=10.0 num_inference_steps=16 predict_before_end=0.7 speed_up_times=1.0 max_steps=6000 device=cpu
episode dur (s) grasp z@close lift stall % speed (rad/s)
20260819T142442684386 58.9 yes 0.112 0.132 nan 0.367
20260819T142551683883 58.9 no 0.119 0.001 nan 0.122
/home/yambox/bspline-policy/.venv/bin/python real_env/yam_teleop/rollout_local_policy.py --env yam-vrkit --policy bspline --ckpt-path /home/yambox/bspline-policy/ckpt_pick200_ee/deploy_ema.ckpt --diffusion-policy-dir /home/yambox/bspline-policy/diffusion_policy --device cpu --control-freq 100 --data-freq 10 --origin-time-scale 10 --num-inference-steps 16 --predict-before-end 0.7 --speed-up-times 1 --max-steps 6000 --num-episodes 10 --save --output-dir data/pick200-ee-vrkit

data/pick200-ee-vrkit_0.7x

3/5 grasps.

3/5ckpt_path=deploy_ema.ckpt policy=bspline control_freq=100.0 data_freq=10.0 origin_time_scale=10.0 num_inference_steps=16 predict_before_end=0.7 speed_up_times=0.7 max_steps=6000 device=cpu
episode dur (s) grasp z@close lift stall % speed (rad/s)
20260819T144123597533 58.9 yes 0.114 0.130 nan 0.276
20260819T144232550888 58.9 yes 0.108 0.139 nan 0.329
20260819T144341636823 58.9 no nan 0.181
20260819T144450765826 58.9 yes 0.114 0.144 nan 0.277
20260819T144559646815 58.9 no 0.117 0.000 nan 0.138
/home/yambox/bspline-policy/.venv/bin/python real_env/yam_teleop/rollout_local_policy.py --env yam-vrkit --policy bspline --ckpt-path /home/yambox/bspline-policy/ckpt_pick200_ee/deploy_ema.ckpt --diffusion-policy-dir /home/yambox/bspline-policy/diffusion_policy --device cpu --control-freq 100 --data-freq 10 --origin-time-scale 10 --num-inference-steps 16 --predict-before-end 0.7 --speed-up-times 0.7 --max-steps 6000 --num-episodes 5 --save --output-dir data/pick200-ee-vrkit_0.7x

data/pick200-ee-vrkit_1.5x

4/5 grasps.

4/5ckpt_path=deploy_ema.ckpt policy=bspline control_freq=100.0 data_freq=10.0 origin_time_scale=10.0 num_inference_steps=16 predict_before_end=0.7 speed_up_times=1.5 max_steps=6000 device=cpu
episode dur (s) grasp z@close lift stall % speed (rad/s)
20260819T143034491520 21.6 yes 0.105 0.133 nan 0.739
20260819T143110125426 32.0 no nan 0.577
20260819T143212353645 23.0 yes 0.111 0.117 nan 0.544
20260819T143253960183 58.9 yes 0.110 0.119 nan 0.382
20260819T143403127827 58.9 yes 0.132 0.112 nan 0.452
/home/yambox/bspline-policy/.venv/bin/python real_env/yam_teleop/rollout_local_policy.py --env yam-vrkit --policy bspline --ckpt-path /home/yambox/bspline-policy/ckpt_pick200_ee/deploy_ema.ckpt --diffusion-policy-dir /home/yambox/bspline-policy/diffusion_policy --device cpu --control-freq 100 --data-freq 10 --origin-time-scale 10 --num-inference-steps 16 --predict-before-end 0.7 --speed-up-times 1.5 --max-steps 6000 --num-episodes 5 --save --output-dir data/pick200-ee-vrkit_1.5x

data/pick200-ee-vrkit_2x

4/5 grasps.

4/5ckpt_path=deploy_ema.ckpt policy=bspline control_freq=100.0 data_freq=10.0 origin_time_scale=10.0 num_inference_steps=16 predict_before_end=0.7 speed_up_times=2.0 max_steps=6000 device=cpu
episode dur (s) grasp z@close lift stall % speed (rad/s)
20260819T143543050023 58.9 no nan 0.213
20260819T143652023943 26.7 yes 0.119 0.120 nan 0.417
20260819T143802580789 51.2 yes 0.115 0.151 nan 0.406
20260819T143914019393 28.2 yes 0.114 0.086 nan 0.353
20260819T144006254729 36.0 yes 0.112 0.123 nan 0.414
/home/yambox/bspline-policy/.venv/bin/python real_env/yam_teleop/rollout_local_policy.py --env yam-vrkit --policy bspline --ckpt-path /home/yambox/bspline-policy/ckpt_pick200_ee/deploy_ema.ckpt --diffusion-policy-dir /home/yambox/bspline-policy/diffusion_policy --device cpu --control-freq 100 --data-freq 10 --origin-time-scale 10 --num-inference-steps 16 --predict-before-end 0.7 --speed-up-times 2 --max-steps 6000 --num-episodes 5 --save --output-dir data/pick200-ee-vrkit_2x

Videos are re-encoded to 320x240 and data.pkl is gzipped (gzip.open(...) then pickle.load). The policy consumed 84x84 crops, so nothing it acted on is lost. Re-run with --raw for originals.

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