从虚拟到真实:与机器人语言交互的框架

E. Joseph
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引用次数: 0

摘要

通过虚拟化人、机器人硬件和目标3D环境,自然语言理解(NLU)管道与基于3D物理的场景集成是开发和测试基于语言的人机交互的灵活方式。在这里,交互意味着使用语言控制机器人,并与它们就用户的物理环境和日常生活进行对话。这种虚拟开发框架最初是为2014年6月在Steam上发布的Bot Colony视频游戏开发的,此后一直在进行改进。该框架的重点是与各种类型的机器人开发直观的语言交互。机器人的关键功能(机器人视觉和物体识别、路径规划和避障、任务规划和约束、抓取和逆运动学)、交互中的人类参与者以及重力和其他力对环境的影响都是使用商用3D工具模拟的。该框架可以用作机器人测试平台:我们的模拟结果可以与真实机器人的算法输出进行比较,以验证这些算法。我们的框架的一个新颖之处是支持与机器人的社交互动——使机器人能够谈论用户环境中的人和物体,以及从主人那里了解人类的需求和日常生活话题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From Virtual to Real: A Framework for Verbal Interaction with Robots
A Natural Language Understanding (NLU) pipeline integrated with a 3D physics-based scene is a flexible way to develop and test language-based human-robot interaction, by virtualizing people, robot hardware and the target 3D environment. Here, interaction means both controlling robots using language and conversing with them about the user’s physical environment and her daily life. Such a virtual development framework was initially developed for the Bot Colony videogame launched on Steam in June 2014, and has been undergoing improvements since. The framework is focused of developing intuitive verbal interaction with various types of robots. Key robot functions (robot vision and object recognition, path planning and obstacle avoidance, task planning and constraints, grabbing and inverse kinematics), the human participants in the interaction, and the impact of gravity and other forces on the environment are all simulated using commercial 3D tools. The framework can be used as a robotics testbed: the results of our simulations can be compared with the output of algorithms in real robots, to validate such algorithms. A novelty of our framework is support for social interaction with robots - enabling robots to converse about people and objects in the user’s environment, as well as learning about human needs and everyday life topics from their owner.
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