通过自然互动教机器人新任务

J. Chai, M. Cakmak, C. Sidner
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引用次数: 12

摘要

本章重点介绍了使自然交互支持交互式任务学习的主要挑战和研究机会。互动是教师和学习者之间的交际行为的交换。自然交互被视为人与代理之间的交互,它利用了人类自然交流的方式,不需要人类具有任何先前的专业知识。交流的目的是达成共识,使学习者获得新的任务知识。本章概述了不同类型的知识,可以在代理之间转移,并讨论了感知、行动和协调能力,使教与学的互动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Teaching Robots New Tasks through Natural Interaction
This chapter focuses on the main challenges and research opportunities in enabling natural interaction to support interactive task learning. Interaction is an exchange of communicative actions between a teacher and a learner. Natural interaction is viewed as an interaction between a human and an agent that leverages ways in which humans naturally communicate and does not require the human to have any prior expertise. The goal of communication is to achieve common ground and allow the learner to acquire new task knowledge. This chapter outlines the different types of knowledge that can be transferred between agents and discusses the perception, action, and coordination capabilities that enable teaching-learning interactions.
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