论文标题
栖息地2.0中的行为：基准测试体现的AI代理的独立于模拟器的逻辑任务描述
BEHAVIOR in Habitat 2.0: Simulator-Independent Logical Task Description for Benchmarking Embodied AI Agents
论文作者
论文摘要
机器人在仓库和工厂等受控环境中执行重复和精确敏感的任务方面表现出色，但尚未扩展到体现在家庭任务中提供帮助的AI代理。受到基准在AI领域（例如计算机视觉和自然语言处理）中的催化效果的启发，社区正在寻找用于体现AI的新基准。体现AI基准测试的先前工作使用不同的形式主义定义了任务，通常特定于一个环境，模拟器或域，使得很难开发一般和可比较的解决方案。在这项工作中，我们将一部分行为活动带入了栖息地2.0中，以从其快速模拟速度中受益，这是证明逻辑空间中定义的适应活动的第一步，将其定义为不同的模拟器。
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.
