Benchmark Almanac

BEHAVIOR-1K

Hiearchical Physical RSI 68.3% tops its leaderboard
Not in model cards

Embodied agents do 1,000 everyday household activities, such as cleaning and cooking, in realistic simulation built on OmniGibson. Success is checked against task goal definitions.

About 1,800 GitHub stars. The annual BEHAVIOR Challenge uses a subset of its tasks.

Released
March 2024
Kind
Simulated robots
Level
Everyday
Scored
Checked automatically
Answers
Agent task
Tasks
All public

In the authors’ words

We present BEHAVIOR-1K, a comprehensive simulation benchmark for human-centered robotics. BEHAVIOR-1K includes two components, guided and motivated by the results of an extensive survey on "what do you want robots to do for you?". The first is the definition of 1,000 everyday activities, grounded in 50 scenes (houses, gardens, restaurants, offices, etc.) with more than 9,000 objects annotated with rich physical and semantic properties. The second is OMNIGIBSON, a novel simulation environment that supports these activities via realistic physics simulation and rendering of rigid bodies, deformable bodies, and liquids. Our experiments indicate that the activities in BEHAVIOR-1K are long-horizon and dependent on complex manipulation skills, both of which remain a challenge for even state-of-the-art robot learning solutions. To calibrate the simulation-to-reality gap of BEHAVIOR-1K, we provide an initial study on transferring solutions learned with a mobile manipulator in a simulated apartment to its real-world counterpart. We hope that BEHAVIOR-1K's human-grounded nature, diversity, and realism make it valuable for embodied AI and robot learning research. Project website: https://behavior.stanford.edu.

Abstract of BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation (arXiv:2403.09227, CC0)
6
Entries on its own leaderboard, 0 models we track

Hiearchical Physical RSI tops the leaderboard with 68.3%

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.

  1. 1 Hiearchical Physical RSI verified 68.3%
  2. 2 VLA WAM verified 61.5%
  3. 3 WAM verified 59.5%
  4. 4 A²MEAS verified 49.8%
  5. 5 A²WLA verified 49.5%
  6. 6 VLA+RSI verified 48.4%

Source: Official BEHAVIOR-1K leaderboard

#EntryScoreSettingDateSource
1 Hiearchical Physical RSI 68.3% verified Official leaderboard
2 VLA WAM 61.5% verified Official leaderboard
3 WAM 59.5% verified Official leaderboard
4 A²MEAS 49.8% verified Official leaderboard
5 A²WLA 49.5% verified Official leaderboard
6 VLA+RSI 48.4% verified Official 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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