让机器人通过与人互动学习词语的真实含义。
Acquiring Grounded Representations of Words with Situated Interactive Instruction
- 机器人主动向人提问，边交互边获取词义
- 在机械臂上验证，能理解感知、语义和操作知识
- 适合需要真实场景理解的智能体研究
我们提出一种从人机混合主动式、情境化互动中获取词语基础表征的方法。研究聚焦于获取包括感知、语义和程序性知识在内的多种类型知识，并实现词语的具身意义学习。交互式学习使智能体能主动请求关于未知概念的指导，从而提高学习效率。该方法已在Soar框架中实现，并在可操作小型物体的桌面机械臂平台上进行了评估。
原文摘要 · Abstract (English)
We present an approach for acquiring grounded representations of words from mixed-initiative, situated interactions with a human instructor. The work focuses on the acquisition of diverse types of knowledge including perceptual, semantic, and procedural knowledge along with learning grounded meanings. Interactive learning allows the agent to control its learning by requesting instructions about unknown concepts, making learning efficient. Our approach has been instantiated in Soar and has been evaluated on a table-top robotic arm capable of manipulating small objects.
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