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首页> 外文期刊>Neural Networks: The Official Journal of the International Neural Network Society >Communication and knowledge sharing in human-robot interaction and learning from demonstration.
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Communication and knowledge sharing in human-robot interaction and learning from demonstration.

机译：人机交互中的交流和知识共享以及从演示中学习。

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摘要

Inexpensive personal robots will soon become available to a large portion of the population. Currently, most consumer robots are relatively simple single-purpose machines or toys. In order to be cost effective and thus widely accepted, robots will need to be able to accomplish a wide range of tasks in diverse conditions. Learning these tasks from demonstrations offers a convenient mechanism to customize and train a robot by transferring task related knowledge from a user to a robot. This avoids the time-consuming and complex process of manual programming. The way in which the user interacts with a robot during a demonstration plays a vital role in terms of how effectively and accurately the user is able to provide a demonstration. Teaching through demonstrations is a social activity, one that requires bidirectional communication between a teacher and a student. The work described in this paper studies how the user's visual observation of the robot and the robot's auditory cues affect the user's ability to teach the robot in a social setting. Results show that auditory cues provide important knowledge about the robot's internal state, while visual observation of a robot can hinder an instructor due to incorrect mental models of the robot and distractions from the robot's movements.
机译：廉价的个人机器人很快将可用于大部分人口。当前，大多数消费机器人是相对简单的单用途机器或玩具。为了具有成本效益并因此被广泛接受，机器人将需要能够在各种条件下完成各种各样的任务。从演示中学习这些任务提供了一种方便的机制，可以通过将与任务相关的知识从用户转移到机器人来定制和训练机器人。这样避免了费时且复杂的手动编程过程。在演示过程中，用户与机器人交互的方式在用户提供演示的效率和准确性方面起着至关重要的作用。通过示范进行教学是一种社交活动，需要教师和学生之间进行双向交流。本文描述的工作研究了用户对机器人的视觉观察以及机器人的听觉提示如何影响用户在社交环境中教机器人的能力。结果表明，听觉提示提供了有关机器人内部状态的重要知识，而对机器人的视觉观察可能会由于错误的机器人思维模式和对机器人运动的干扰而阻碍教练。

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