arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2108.03332cs.ROcs.AIcs.CV
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BEHAVIOR:虚拟、交互和生态环境中日常家庭活动的基准

BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments

Stanford University(斯坦福大学)
Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Sav… 展开作者

Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martín-Martín, Fei Xia, Kent Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei

摘要:

我们介绍了BEHAVIOR,这是嵌入式AI的基准,模拟了100个活动,涵盖了一系列日常家务,如清洁,维护和食物准备。这些活动被设计成现实的,多样化的和复杂的,旨在重现代理人在现实世界中必须面对的挑战。构建这样一个基准对每个活动提出了三个基本的困难:定义(它可能因时间、地点或人员而异)、在模拟器中的实例化和评估。Behavior通过三项创新解决了这些问题。首先,我们提出了一个以对象为中心,谓词逻辑为基础的描述语言表达活动的初始和目标条件,使任何活动的不同实例的生成。其次,我们确定了一个底层环境所需的模拟器不可知的功能,以支持行为,并证明其实现在这样的模拟器。第三,我们引入了一组指标来衡量任务的进度和效率,绝对和相对于人类示威者。我们在虚拟现实(VR)中包括500个人类演示,以作为人类的基础事实。我们的实验表明,即使是最先进的嵌入式人工智能解决方案,也难以满足我们基准测试中活动所带来的现实主义、多样性和复杂性水平。我们在behavior.stanford.edu上公开发布BEHAVIOR,以促进和校准新的嵌入式AI解决方案的开发。

英文摘要:

We introduce BEHAVIOR, a benchmark for embodied AI with 100 activities in simulation, spanning a range of everyday household chores such as cleaning, maintenance, and food preparation. These activities are designed to be realistic, diverse, and complex, aiming to reproduce the challenges that agents must face in the real world. Building such a benchmark poses three fundamental difficulties for each activity: definition (it can differ by time, place, or person), instantiation in a simulator, and evaluation. BEHAVIOR addresses these with three innovations. First, we propose an object-centric, predicate logic-based description language for expressing an activity's initial and goal conditions, enabling generation of diverse instances for any activity. Second, we identify the simulator-agnostic features required by an underlying environment to support BEHAVIOR, and demonstrate its realization in one such simulator. Third, we introduce a set of metrics to measure task progress and efficiency, absolute and relative to human demonstrators. We include 500 human demonstrations in virtual reality (VR) to serve as the human ground truth. Our experiments demonstrate that even state of the art embodied AI solutions struggle with the level of realism, diversity, and complexity imposed by the activities in our benchmark. We make BEHAVIOR publicly available at behavior.stanford.edu to facilitate and calibrate the development of new embodied AI solutions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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