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BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation

14 March 2024
Chengshu Li
Ruohan Zhang
J. Wong
Cem Gokmen
S. Srivastava
Roberto Martín-Martín
Chen Wang
Gabrael Levine
Wensi Ai
B. Martinez
Hang Yin
Michael Lingelbach
Minjune Hwang
Ayano Hiranaka
Sujay S. Garlanka
Arman Aydin
Sharon Lee
Jiankai Sun
M. Anvari
Manasi Sharma
Dhruva Bansal
Samuel Hunter
Kyu-Young Kim
Alan Lou
Caleb R. Matthews
Ivan Villa-Renteria
Jerry Huayang Tang
Claire Tang
Fei Xia
Yunzhu Li
Silvio Savarese
H. Gweon
C. Karen Liu
Jiajun Wu
Fei-Fei Li
    VGen
    LM&Ro
    VLM
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Abstract

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.

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