RoboChallenge Table30 v2
Policies run 30 new real tabletop tasks on ARX5, UR5, ALOHA and DOS-W1 robots. Each task has a 10-point stage rubric for partial credit.
Replaced Table30 v1, which retired on May 27th, 2026. The maker says v2 upgrades tasks, evaluation and system. Lightwheel and NVIDIA are building an Isaac Lab twin, announced August 19th, 2026.
- Made by
- Dexmal + Hugging Face
- Released
- May 2026
- Kind
- Real robots
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- All public
- Last model added
- April 2025
- Scores refreshed
- November 12th, 2026
LoopWAM tops the leaderboard with 56.8%
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders. The best model we track is π0.5, at 0.73%.
- 56.8 LoopWAM
- 54.4 VLA-DM0.5
- 44.2 ambase
- 41.3 my16
- 31.5 Baseline Model
- 27.9 holobrain
- 27.6 JV0
- 23.6 mc
- 22.7 test_01
- 22.4 pi05_loom
- 21.9 W0
- 20.8 MagicBot
- 20.1 r1
- 19.2 hcp-e
- 18.7 debuggers_vla
- 16.4 Astraeus_V1.7
- 16.1 metrics
- 15.3 EgoVLA
- 14.9 USTB-Linketic
- 13.9 Astraeus_V1.5
- 13.4 DWC-M
- 13.0 ARX5-multitask
- 12.8 MultiVLA
- 12.7 vict
- 12.3 RoboRush
- 11.6 Astraeus_V1.6
- 10.3 VLA-Agent
- 10.1 BrainC
- 9.58 AVP
- 8.83 xyz
- 8.68 TengenX0.1
- 8.42 Astraeus_V1
- 7.95 UR5-multitask
- 7.82 ARX5_PI05
- 7.25 smartVLA
- 6.28 NGRob
- 5.92 ALOHA-multitask
- 5.53 DOS-W1-multitask
- 5.42 KETI_pi0.5
- 5.12 TvT
- 4.35 PAGER-press-ARX5
- 4.22 EchoMind Master
- 4.05 happy_farm
- 3.88 UR5_PI05
- 3.22 RobotPioneer
- 2.97 pi-aloha-base
- 2.60 moveon
- 2.53 wp
- 2.33 pi05_base
- 1.92 R0
- 1.52 Aloha05
- 1.42 WAM_v0
- 1.15 M36-E0
- 0.73 π0.5
- 0.70 DOS_W1_PI05
- 0.37 EI-WAM-53M
- 0.20 Datawhale-VLA
- 0.18 testmulti6
- 0.17 vertical
- 0.17 ALOHA_PI05
- 0.0 pb_vla
- 0.0 kp-robot
- 0.0 DM-OPD
- 0.0 MiniCPM-RobotManip
- 0.0 objsight
- 1 LoopWAM multi-task policy 56.8%
- 2 VLA-DM0.5 multi-task policy 54.4%
- 3 ambase multi-task policy 44.2%
- 4 my16 multi-task policy 41.3%
- 5 Baseline Model multi-task policy 31.5%
- 6 holobrain multi-task policy 27.9%
- 7 JV0 multi-task policy 27.6%
- 8 mc multi-task policy 23.6%
- 9 test_01 multi-task policy 22.7%
- 10 pi05_loom multi-task policy 22.4%
- 11 W0 multi-task policy 21.9%
- 12 MagicBot multi-task policy 20.8%
- 13 r1 multi-task policy 20.1%
- 14 hcp-e multi-task policy 19.2%
- 15 debuggers_vla multi-task policy 18.7%
- 16 Astraeus_V1.7 multi-task policy 16.4%
- 17 metrics multi-task policy 16.1%
- 18 EgoVLA multi-task policy 15.3%
- 19 USTB-Linketic multi-task policy 14.9%
- 20 Astraeus_V1.5 multi-task policy 13.9%
- 21 DWC-M single-task policies 13.4%
- 22 ARX5-multitask multi-task policy 13%
- 23 MultiVLA multi-task policy 12.8%
- 24 vict multi-task policy 12.7%
- 25 RoboRush multi-task policy 12.3%
- 26 Astraeus_V1.6 multi-task policy 11.6%
- 27 VLA-Agent multi-task policy 10.3%
- 28 BrainC multi-task policy 10.1%
- 29 AVP multi-task policy 9.58%
- 30 xyz multi-task policy 8.83%
- 31 TengenX0.1 multi-task policy 8.68%
- 32 Astraeus_V1 multi-task policy 8.42%
- 33 UR5-multitask multi-task policy 7.95%
- 34 ARX5_PI05 multi-task policy 7.82%
- 35 smartVLA multi-task policy 7.25%
- 36 NGRob multi-task policy 6.28%
- 37 ALOHA-multitask multi-task policy 5.92%
- 38 DOS-W1-multitask multi-task policy 5.53%
- 39 KETI_pi0.5 multi-task policy 5.42%
- 40 TvT multi-task policy 5.12%
- 41 PAGER-press-ARX5 multi-task policy 4.35%
- 42 EchoMind Master multi-task policy 4.22%
- 43 happy_farm multi-task policy 4.05%
- 44 UR5_PI05 multi-task policy 3.88%
- 45 RobotPioneer multi-task policy 3.22%
- 46 pi-aloha-base multi-task policy 2.97%
- 47 moveon multi-task policy 2.60%
- 48 wp multi-task policy 2.53%
- 49 pi05_base multi-task policy 2.33%
- 50 R0 multi-task policy 1.92%
- 51 Aloha05 multi-task policy 1.52%
- 52 WAM_v0 multi-task policy 1.42%
- 53 M36-E0 multi-task policy 1.15%
- 54 π0.5 multi-task policy 0.73%
- 55 DOS_W1_PI05 multi-task policy 0.70%
- 56 EI-WAM-53M multi-task policy 0.37%
- 57 Datawhale-VLA multi-task policy 0.20%
- 58 testmulti6 multi-task policy 0.18%
- 59 vertical multi-task policy 0.17%
- 60 ALOHA_PI05 multi-task policy 0.17%
- 61 pb_vla multi-task policy 0%
- 62 kp-robot multi-task policy 0%
- 63 DM-OPD multi-task policy 0%
- 64 MiniCPM-RobotManip multi-task policy 0%
- 65 objsight multi-task policy 0%
Source: Official RoboChallenge Table30 v2 leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | LoopWAM | 56.8% | multi-task policy | Sep 2026 | Official leaderboard |
| 2 | VLA-DM0.5 | 54.4% | multi-task policy | Sep 2026 | Official leaderboard |
| 3 | ambase | 44.2% | multi-task policy | Oct 2026 | Official leaderboard |
| 4 | my16 | 41.3% | multi-task policy | May 2026 | Official leaderboard |
| 5 | Baseline Model | 31.5% | multi-task policy | Apr 2026 | Official leaderboard |
| 6 | holobrain | 27.9% | multi-task policy | May 2026 | Official leaderboard |
| 7 | JV0 | 27.6% | multi-task policy | May 2026 | Official leaderboard |
| 8 | mc | 23.6% | multi-task policy | May 2026 | Official leaderboard |
| 9 | test_01 | 22.7% | multi-task policy | May 2026 | Official leaderboard |
| 10 | pi05_loom | 22.4% | multi-task policy | Oct 2026 | Official leaderboard |
| 11 | W0 | 21.9% | multi-task policy | May 2026 | Official leaderboard |
| 12 | MagicBot | 20.8% | multi-task policy | May 2026 | Official leaderboard |
| 13 | r1 | 20.1% | multi-task policy | Oct 2026 | Official leaderboard |
| 14 | hcp-e | 19.2% | multi-task policy | May 2026 | Official leaderboard |
| 15 | debuggers_vla | 18.7% | multi-task policy | May 2026 | Official leaderboard |
| 16 | Astraeus_V1.7 | 16.4% | multi-task policy | Sep 2026 | Official leaderboard |
| 17 | metrics | 16.1% | multi-task policy | May 2026 | Official leaderboard |
| 18 | EgoVLA | 15.3% | multi-task policy | Oct 2026 | Official leaderboard |
| 19 | USTB-Linketic | 14.9% | multi-task policy | Aug 2026 | Official leaderboard |
| 20 | Astraeus_V1.5 | 13.9% | multi-task policy | Jul 2026 | Official leaderboard |
| 21 | DWC-M | 13.4% | single-task policies | Nov 2026 | Official leaderboard |
| 22 | ARX5-multitask | 13% | multi-task policy | Sep 2026 | Official leaderboard |
| 23 | MultiVLA | 12.8% | multi-task policy | Sep 2026 | Official leaderboard |
| 24 | vict | 12.7% | multi-task policy | May 2026 | Official leaderboard |
| 25 | RoboRush | 12.3% | multi-task policy | May 2026 | Official leaderboard |
| 26 | Astraeus_V1.6 | 11.6% | multi-task policy | Jul 2026 | Official leaderboard |
| 27 | VLA-Agent | 10.3% | multi-task policy | Oct 2026 | Official leaderboard |
| 28 | BrainC | 10.1% | multi-task policy | Apr 2026 | Official leaderboard |
| 29 | AVP | 9.58% | multi-task policy | May 2026 | Official leaderboard |
| 30 | xyz | 8.83% | multi-task policy | May 2026 | Official leaderboard |
| 31 | TengenX0.1 | 8.68% | multi-task policy | Aug 2026 | Official leaderboard |
| 32 | Astraeus_V1 | 8.42% | multi-task policy | Jun 2026 | Official leaderboard |
| 33 | UR5-multitask | 7.95% | multi-task policy | Sep 2026 | Official leaderboard |
| 34 | ARX5_PI05 | 7.82% | multi-task policy | Nov 2026 | Official leaderboard |
| 35 | smartVLA | 7.25% | multi-task policy | May 2026 | Official leaderboard |
| 36 | NGRob | 6.28% | multi-task policy | May 2026 | Official leaderboard |
| 37 | ALOHA-multitask | 5.92% | multi-task policy | Aug 2026 | Official leaderboard |
| 38 | DOS-W1-multitask | 5.53% | multi-task policy | Sep 2026 | Official leaderboard |
| 39 | KETI_pi0.5 | 5.42% | multi-task policy | May 2026 | Official leaderboard |
| 40 | TvT | 5.12% | multi-task policy | Apr 2026 | Official leaderboard |
| 41 | PAGER-press-ARX5 | 4.35% | multi-task policy | Nov 2026 | Official leaderboard |
| 42 | EchoMind Master | 4.22% | multi-task policy | May 2026 | Official leaderboard |
| 43 | happy_farm | 4.05% | multi-task policy | May 2026 | Official leaderboard |
| 44 | UR5_PI05 | 3.88% | multi-task policy | Oct 2026 | Official leaderboard |
| 45 | RobotPioneer | 3.22% | multi-task policy | May 2026 | Official leaderboard |
| 46 | pi-aloha-base | 2.97% | multi-task policy | May 2026 | Official leaderboard |
| 47 | moveon | 2.60% | multi-task policy | May 2026 | Official leaderboard |
| 48 | wp | 2.53% | multi-task policy | May 2026 | Official leaderboard |
| 49 | pi05_base | 2.33% | multi-task policy | Oct 2026 | Official leaderboard |
| 50 | R0 | 1.92% | multi-task policy | Apr 2026 | Official leaderboard |
| 51 | Aloha05 | 1.52% | multi-task policy | Jul 2026 | Official leaderboard |
| 52 | WAM_v0 | 1.42% | multi-task policy | Jul 2026 | Official leaderboard |
| 53 | M36-E0 | 1.15% | multi-task policy | Jul 2026 | Official leaderboard |
| 54 | π0.5 | 0.73% | multi-task policy | Apr 2025 | Official leaderboard |
| 55 | DOS_W1_PI05 | 0.70% | multi-task policy | Nov 2026 | Official leaderboard |
| 56 | EI-WAM-53M | 0.37% | multi-task policy | Sep 2026 | Official leaderboard |
| 57 | Datawhale-VLA | 0.20% | multi-task policy | May 2026 | Official leaderboard |
| 58 | testmulti6 | 0.18% | multi-task policy | Apr 2026 | Official leaderboard |
| 59 | vertical | 0.17% | multi-task policy | Apr 2026 | Official leaderboard |
| 60 | ALOHA_PI05 | 0.17% | multi-task policy | Nov 2026 | Official leaderboard |
| 61 | pb_vla | 0% | multi-task policy | Apr 2026 | Official leaderboard |
| 62 | kp-robot | 0% | multi-task policy | Jul 2026 | Official leaderboard |
| 63 | DM-OPD | 0% | multi-task policy | Sep 2026 | Official leaderboard |
| 64 | MiniCPM-RobotManip | 0% | multi-task policy | Sep 2026 | Official leaderboard |
| 65 | objsight | 0% | multi-task policy | Sep 2026 | Official leaderboard |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official RoboChallenge Table30 v2 leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
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