Robots excel in performing repetitive and precision-sensitive tasks in
controlled environments such as warehouses and factories, but have not been yet
extended to embodied AI agents providing assistance in household tasks.
Inspired by the catalyzing effect that benchmarks have played in the AI fields
such as computer vision and natural language processing, the community is
looking for new benchmarks for embodied AI. Prior work in embodied AI benchmark
defines tasks using a different formalism, often specific to one environment,
simulator or domain, making it hard to develop general and comparable
solutions. In this work, we bring a subset of BEHAVIOR activities into Habitat
2.0 to benefit from its fast simulation speed, as a first step towards
demonstrating the ease of adapting activities defined in the logic space into
different simulators.

本研究探讨了如何将基于逻辑型 BEHAVIOR 活动定义转化为不同模拟器中的相对应活动作为第一步，拓展机器人在家庭任务中的应用，为此我们提出了一种适用于不同领域和场地的标准测试方法。