Right Sharpa hand · Work in progress
System0
A promptable policy for dexterous manipulation.
We are building a policy for the right Sharpa hand that follows object-motion and hand-pose prompts.
How this is measured
Average completion of the 15 jobs below, weighted equally. Collection uses episode targets; checks, downloads, and training use their own totals. This measures the current work plan, not the hand’s task success.
The pipeline
From demonstrations to control- 01
Collect
Roll out trained policies and gather public hand–object recordings.
- 02
Check
Test right-hand execution. Reject drops and failed tasks; align poses, actions, and contacts.
- 03
Train
Learn a diffusion policy from successful motions and their object-motion references.
- 04
Prompt & control
Provide a motion goal. Predict wrist and finger targets, execute a short segment, then replan.
The current model dataset covers pickup and hold. Broader skills and human-pose retargeting are still being developed.
The data
Choose a dataset to watch an exampleSystem0 pickup
Pick up a cube or ball, then hold it above the table.
Floating right hand · The current training set uses these motions.
Original source ↗Full source & checkpoint list 66 entries
66 entries
SimToolRealMirrored tool motion; mallet downward swingCheckpoint
Revision 313d5aea1f507c6cfe097b672b62945d7b0bbff5
Recorded teacher · SHA-256 4cb0d09833326de6878ee5681c2b14521823fa616e01b135214a51ffe41c63b9
DEX-XCube grasp; squeegee manipulationCheckpoint
Revision 88d59f629eb7d74728374523238a78ebded6e943
teacher_poseobs.pth · SHA-256 42c774921e27b7291430ce59c71c8e1c7bf3efad752aa7e50bf42a8ab07d5edd
Sharpa RL LabIn-hand rotationCheckpoint
Revision 95ccda3d948801bb5da4cb7ffea766e03067a63b
Recorded teacher · SHA-256 316dbca720dfb2ec1e0f593b192126a4531d30f3211d236f7a407ec9db15af51
Recorded teacher · SHA-256 c37dff6fd9b204f7bb69cae5eb609180329beee4fdb3573b262228a8e0a6d757
WM-CraftnetIn-hand rotation across nine object categoriesCheckpoint
Revision 7a200ba759f981b7540acffe930d4036bbb3159e
wm_craftnet_set_z.pth · SHA-256 3215205fe1fad48e97f5745ab90bb2377d53012c1a0d2634edf186699ccab7f7
Pen manipulationThree-turn pen spin, stop and holdCheckpoint
Revision 5e60ae21cd29866aefe3e2cffee9b260c2b0a7b1
Recorded teacher · SHA-256 cc88085343402380b07df560a874b7784e05ed9fb8f75e0b19c575c7e08bf4cc
CHORD / Video-to-Data teacherBimanual tissue-box lift, hold and returnCheckpoint
Revision 7eb9721088615fe9201634a6be5cf48b049d1090
vega_sharpa_policy.onnx · SHA-256 bf3259ec2b86dd696e6b89e6275d85985ad30dafeaf53351971b16cdb8dad8b2
Sharpa residual PPOObject manipulation candidateCheckpoint
Revision 63eb446a28d32e2c7c27de85b224396e69475abc
Dexterity from Supervised PlayGoal-directed in-hand cube reorientationCheckpoint
Revision e41cf7c4f394c1e9ca24761b980d1193a5db75ef
dsp_sim_play_policy.pt · SHA-256 744a4159f7842e6e2c7dbac57748c74c771f5c13ffdfa7b302757b6f75b8b463
dsp_sim_world_model.pt · SHA-256 3d337874d91b06f12fac94ab62f51a02772ce819191b2002ecb8dc1e713b1498
SPIDERGrasp, lift and supported hold across diverse objectsTrajectories
Revision 1bb88b0c32b33eb868def58333a516ad2f2aba30
SharpaDex59 published task categoriesTrajectories
Revision 8e04aab1255da8eb73fe2b31516054dbb9e15eda
NVIDIA Video-to-Data1,215 published motion sequencesTrajectories
Revision 2376c2eb477685ac5da47d3b634fbed31c0ccef5
T-Rex demonstrations22 motor primitives; 207 objects; 5,464 published episodesTrajectories
Revision 8b478400a9167d59ede0fdbfea616cb5e9791885
T-Rex midtrained policyTactile-reactive policy initializationCheckpoint
Revision 62efb3bcb45a3df0e088c8909d759b582cfb98af
T-Rex pretrained policyVision-language-action initializationCheckpoint
Revision d9cbd9afd298767137fdb01cc9f96fad0cc6ddb2
DeCAL demonstrations13 tasks; 1,279 published episodesTrajectories
Revision bcf54d0d6c48d0fbaa03fa0d2f27890d37649872
FTP-1 Sharpa subsetTactile manipulation; coverage audit pendingTrajectories
Revision d287c9c532514a08b2eb29bf1259997bb32f4f3b
EigenDEXploreTraining / adaptation toolsCode
Revision 5d57180eb247a8e2e6b809fa019495374317d47d
DeCAL policy codeTraining / adaptation toolsCode
Revision 09de1855cfc933a2d2680d6011744476647ed7d1
X-ResetGoal-conditioned manipulation and recoveryResearch
System0 pickup teachersCube and sphere pickup with supported retentionCheckpoint
Recorded teacher · SHA-256 5f1e316cdf655b722cc7f176c6196d55a1450dc781258a3bd069be297929ca76
Recorded teacher · SHA-256 fbbee39e6cf120419488b6b545cd5e97328a3c4f2d6217bb5a7a9c1296f78948
Bench2Dex/teleopdata · bench2dex-sharpa-tasksTray arrangement, baking preparation and puzzle assembly; source variantsTrajectories
Revision 7c4c2e1cf67683857dbb0b3610cf1d20b1020c55
Bench2Dex/Assets · bench2dex-task-assetsTray arrangement, baking preparation and puzzle assembly; source variantsCode
Revision bf65215f844d1fca30750e4cc70d7266650abf0a
Bench2Dex/AssetsTray arrangement, baking preparation and puzzle assembly; source variantsCode
Revision bf65215f844d1fca30750e4cc70d7266650abf0a
Bench2Dex/teleopdataTray arrangement, baking preparation and puzzle assembly; source variantsTrajectories
Revision 7c4c2e1cf67683857dbb0b3610cf1d20b1020c55
Dex-GEM/DexCanvasHuman hand–object motion, grasp transitions and contactsTrajectories
Revision 69380022d93cb3fb31c9e22c051772a3c5d55af1
FlappyHimself/sharpa-bc-data018-phone18-c4096Phone manipulationTrajectories
Revision 35df07dfc170d5628b172feec2a81d0cec4f3fdf
FlappyHimself/sharpa-bc-data019-phone07-partial2763-powPhone manipulationTrajectories
Revision fb5360dad48390d1ae2fbd938d24d4458443060a
FlexPhysics/sharpa-cylinder-rotationRight-hand cylinder rotation across eight scalesTrajectories
Revision c62815d1619125686b4c2f466fa15bb58f6af0f9
JensenYuan/DexTacWAM_488_diverse_episodesDexTacWAM 488 diverse episodesTrajectories
Revision c9142c56c9c15a7dbb1de9fb394d4af37a5cea94
JensenYuan/DexTacWAM_cube_handoverDexTacWAM cube handoverTrajectories
Revision 00b652dd60b1f718e029ac9d235be60594c1a05b
JensenYuan/DexTacWAM_pick_cherry_tomato_with_tong_rawDexTacWAM pick cherry tomato with tong rawTrajectories
Revision d570f6e8f1d63a7e409f266a8f274137f7f0d9c2
JensenYuan/DexTacWAM_pick_cube_in_a_bag_rawDexTacWAM pick cube in a bag rawTrajectories
Revision 2d0de63cdc82f6d8f0b90c5e1b1aa5109eb0a076
JensenYuan/DexTacWAM_pick_cube_right_hand_rawDexTacWAM pick cube right hand rawTrajectories
Revision b1adbb6394779aa7c4ee6b66ca89aeb7953ac904
JensenYuan/DexTacWAM_pick_place_cubeDexTacWAM pick place cubeTrajectories
Revision f6a08ab77e3b91494cee1cc872d04cc3dc1a2eb3
JensenYuan/DexTacWAM_place_with_tongsDexTacWAM place with tongsTrajectories
Revision 9c79ec40d649b11ef2dce6517f332fa26661e5c7
JensenYuan/DexTacWAM_unscrew_bottle_capDexTacWAM unscrew bottle capTrajectories
Revision 2fb714b635cb13e00b01a3b4c255abd50d510fbe
JensenYuan/DexTacWAM_unstack_bowlDexTacWAM unstack bowlTrajectories
Revision cfbd1074ed5fec6c409987ea364973d29ce6e2f2
JensenYuan/DexTacWAM_wipe_white_board_rawDexTacWAM wipe white board rawTrajectories
Revision 230c84b2e709f760c8f302dbbfc5af21d9712a5a
JensenYuan/DexTacWAM_wipe_whiteboardDexTacWAM wipe whiteboardTrajectories
Revision c688eb4d95e96f4f3587f9a8a52940251da76b0a
Myungkyu/bench2dex_sharpa_lerobot_v21_rldxTray arrangement, baking preparation and puzzle assembly; source variantsTrajectories
Revision 93a35185040cd9bdf328b29371e66c446bc0db1e
Myungkyu/bench2dex_sharpa_lerobot_v30Tray arrangement, baking preparation and puzzle assembly; source variantsTrajectories
Revision 986535ccce64c41dcc76973c6fc8f31f9c31ae13
SharpaIT/RoCo_TaskBoardAssemblyTaskboard assemblyTrajectories
Revision 07432c3ecb3a97a067ca653dcfa751b15f6d8181
Voxel51/sharpa-assemble-gears-410epsharpa-assemble-gears-410epTrajectories
Revision 9f2a17532646dff720a9d4330152c8a743e99873
jeremynut/pico-manus-sharpa-fr3-teleoppico-manus-sharpa-fr3-teleopTrajectories
Revision 2db9b362d1b33ce0880ca60cd9447cb52c60a2f3
zju/sharpa_grasp_bottle22249179_geo_visual100_2camsharpa grasp bottle22249179 geo visual100 2camTrajectories
Revision cc6340e3b2dc7c28b74ef78d09056563466538fd
Bench2Dex/policy_ckptTray arrangement, baking preparation and puzzle assembly; source variantsCheckpoint
Revision 773e65842bd36de1cbe951b0f52c865a87d41732
JensenYuan/DexTacWAM_multi_finger_tactile_encoderDexTacWAM multi finger tactile encoderCheckpoint
Revision 17243e046b4555ca629eb7e105e31d531171c320
xinpan/roco-sharpa-pi05-rgb65-step56666Taskboard assemblyCheckpoint
Revision 0a00d4dbcd2923ab06fdd6e39eca9ea5eb5245f9
xinyuan-eval/tong-transfer-sharpatong-transfer-sharpaCheckpoint
Revision 80a25266e694e5c935ed60c435ce3068210bcfe0
yunju1115/gr00t-n1.7-h2-sharpa-cotrain-delta-ckpt79500GR00T Sharpa policy variant; task coverage unverifiedCheckpoint
Revision 6d3255ec35d073e3a8e8e03dcaa54fa8c7af923c
yunju1115/gr00t-n1.7-h2-sharpa-cotrain-eef-camright-headonly-rel-ckpt40000GR00T Sharpa policy variant; task coverage unverifiedCheckpoint
Revision 896e64d527233748a7c74e85ac5f12341938999c
yunju1115/gr00t-n1.7-h2-sharpa-cotrain-refined-ckpt53500GR00T Sharpa policy variant; task coverage unverifiedCheckpoint
Revision 99966fc6a289210f7ad7c8dd344ac8b549954196
yunju1115/gr00t-n1.7-h2-sharpa-cotrain-rel-ckpt42000GR00T Sharpa policy variant; task coverage unverifiedCheckpoint
Revision afa484e9301f04e48c8223ca61730f6e66234082
yunju1115/gr00t-n1.7-h2-sharpa-cotrain-right-handstate-egohand03-rel-ckpt40000GR00T Sharpa policy variant; task coverage unverifiedCheckpoint
Revision 746104397d10809da0967be6bafe38d2fd7a2fc6
yunju1115/gr00t-n1.7-h2-sharpa-ego-eef-robotright-headonly-rel-ckpt40000GR00T Sharpa policy variant; task coverage unverifiedCheckpoint
Revision e9557cb6899dcbecb31469d46b52559ce4a737b2
yunju1115/gr00t-n1.7-h2-sharpa-ego-joints-ckpt28500GR00T Sharpa policy variant; task coverage unverifiedCheckpoint
Revision e6af6cb81b28c695ccc5730de8a00152a4f80fd5
yunju1115/gr00t-n1.7-h2-sharpa-tele-eef-camright-headonly-rel-ckpt40000GR00T Sharpa policy variant; task coverage unverifiedCheckpoint
Revision 42c4fb099a0c98bf9836a2a399bb95dc077eb376
yunju1115/gr00t-n1.7-h2-sharpa-tele-right-handstate-rel-ckpt40000GR00T Sharpa policy variant; task coverage unverifiedCheckpoint
Revision 5bf0060a62c9304a2d83c24f44eac7838cc0dca0
yunju1115/gr00t-n1.7-h2-sharpa-tele108-ego107-0921-ckpt40000GR00T Sharpa policy variant; task coverage unverifiedCheckpoint
Revision aa96fe0f7057d76e02e8bc46d5145ddd7c18adc6
yunju1115/gr00t-n1.7-h2-sharpa-tele20-from-base-joints-ckpt3500GR00T Sharpa policy variant; task coverage unverifiedCheckpoint
Revision ad4c014887265a67ed477fa78303a8f433368aad
yunju1115/gr00t-n1.7-h2-sharpa-tele20-from-ego-joints-ckpt4000GR00T Sharpa policy variant; task coverage unverifiedCheckpoint
Revision db2c986cdf3dfe336d1de4f9ea1cc60d956fdfd1
yunju1115/gr00t-n1.7-h2-sharpa-tele30-0921-ckpt40000GR00T Sharpa policy variant; task coverage unverifiedCheckpoint
Revision 64a4f31ed425b3dcf5a0439a23f5a6d9ab2b7daa
yunju1115/gr00t-n1.7-h2-sharpa-tele30-ego107-0921-ckpt40000GR00T Sharpa policy variant; task coverage unverifiedCheckpoint
Revision f230f49b57fae34c90f977065e763d82267f667d
yunju1115/gr00t-n1.7-h2-sharpa-tele55-joints-0915-ckpt25500GR00T Sharpa policy variant; task coverage unverifiedCheckpoint
Revision 9602d68562776e52bd01d9b4881d41cc0fe78668
DITTO-X / DITTO-HumanBattery insertion, tong use, fragile-object handlingResearch
DexMimicGenAssembly, pouring and scene variationResearch
No matching sources.
Reviewed October 28, 2026. Variants and assets are separate entries, not separate skills. Download catalog ↓
Current status
Connecting to the collection machine…
Updated every 5 minutes. Publishing may add a short delay.
The model dataset is a fixed pickup-and-hold subset, including validation data. New recordings enter only after their controls and task success are checked.
Collection
2,007 episodes saved
698 episodes saved
Saved episodes passed their source’s task checks. Recent batches may still await a final audit. Select a job to see its data.
Diffusion training
System0 v2 · Object-motion model
not_startedSetup tests passed. The full training run has not started.
System0 v1 · First diffusion model
completeTraining finished. Simulation tests still show drops and unreliable holds.
Downloads & preparation
New source downloads
Checking…FTP-1 Sharpa recordings
runningDeCAL recordings
runningVideo-to-Data motions
runningStarting grasps
Checking…Each variant needs 128 distinct, physically checked grasps.
Early model evaluation v1 · Pickup and hold remain unreliable
An earlier v1 checkpoint, tested on two scenes. Hand-pose guidance uses a noisy robot trajectory; human retargeting was not tested.
1× speed · Checkpoint at 230,000 steps · Two scenes, not a full benchmark.