WAM is capable in BEHAVIOR-1K: the 2nd-place solution to the 2026 BEHAVIOR Challenge
Overview
This work presents the second-place solution (Team IF1001) to the 2026 BEHAVIOR Challenge, which evaluates mobile manipulation across 100 household tasks.
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Event evidence and corrections
0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Reported quantity · Reported success rate: 40.9 percent · reported trials · Differing source assertions
“o closed-source models; during official private-test evaluation, our system handled concurrent requests across 100 evaluation ports with limited hardware resources, sustaining an average end-to-end inference rate above 2 FPS per port. Our method achieves a mean Q-score of 0.613 and a full-task success rate of 40.9%, averaged over 3 self-evaluation rounds across all 100 tasks. On the official private test set, with 20”
Exact source · revision 1Source owner not reported
Reported quantity · Reported success rate: 41.2 percent · reported trials · Differing source assertions
“instances per task, our system achieves a mean Q-score of 0.615 and a full-task success rate of 41.2%.”
Exact source · revision 1Source owner not reported
Reported quantity · mean Q-score: 0.613 other · Basis not reported · Differing source assertions
“o closed-source models; during official private-test evaluation, our system handled concurrent requests across 100 evaluation ports with limited hardware resources, sustaining an average end-to-end inference rate above 2 FPS per port. Our method achieves a mean Q-score of 0.613 and a full-task success rate of 40.9%, averaged over 3 self-evaluation rounds across all 100 tasks. On the official private test set, with 20”
Exact source · revision 1Source owner not reported
Reported quantity · mean Q-score: 0.615 other · Basis not reported · Differing source assertions
“instances per task, our system achieves a mean Q-score of 0.615 and a full-task success rate of 41.2%.”
Exact source · revision 1Source owner not reported
Reported quantity · inference rate: 2 other · Basis not reported
“o closed-source models; during official private-test evaluation, our system handled concurrent requests across 100 evaluation ports with limited hardware resources, sustaining an average end-to-end inference rate above 2 FPS per port. Our method achieves a mean Q-score of 0.613 and a full-task success rate of 40.9%, averaged over 3 self-evaluation rounds across all 100 tasks. On the official private test set, with 20”
Exact source · revision 1Source owner not reported
Reported quantity · evaluation ports: 100 other · Basis not reported
“o closed-source models; during official private-test evaluation, our system handled concurrent requests across 100 evaluation ports with limited hardware resources, sustaining an average end-to-end inference rate above 2 FPS per port. Our method achieves a mean Q-score of 0.613 and a full-task success rate of 40.9%, averaged over 3 self-evaluation rounds across all 100 tasks. On the official private test set, with 20”
Exact source · revision 1Source owner not reported
Reported quantity · household tasks: 100 other · Basis not reported
“arXiv:2611.13818v1 Announce Type: new Abstract: This work presents the 2nd-place solution (Team IF1001) to the 2026 BEHAVIOR Challenge, which evaluates mobile manipulation across 100 household tasks. Our method is built on a powerful world action model (WAM), Cosmos 3. We improve Cosmos 3 by using richer visual history, task-progress conditioning, and task-group and skill-specific LoRA adapters. During inference, we”
Exact source · revision 1Source owner not reported
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- arXiv Robotics — research abstractsSignalWAM is capable in BEHAVIOR-1K: the 2nd-place solution to the 2026 BEHAVIOR Challenge
This work presents the second-place solution (Team IF1001) to the 2026 BEHAVIOR Challenge, which evaluates mobile manipulation across 100 household tasks.
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