在AR中训练你的机器人:在持续的教学和学习中对人类和机器人的洞察力和挑战
Anna Belardinelli1, Chao Wang1, Daniel Tanneberg1
1Honda Research Institute Europe, Offenbach, Germany.
Frontiers in robotics and AI
|August 29, 2025
概括
这项研究介绍了一种机器人系统,用于从虚拟厨房中的用户交互中不断学习. 用户发现该系统具有吸引力和可理解性,更好的理解导致对机器人的信任增加.
科学领域:
- 机器人技术
- 人与计算机的交互
- 人工智能
背景情况:
- 家庭部署的机器人需要非专业用户的直观人机交互 (HRI).
- 很少有研究在无脚本,无监督的环境中探索交互式任务学习.
- 机器人需要逐步实时学习,
研究的目的:
- 展示一个能够通过互动不断学习的机器人系统.
- 评估与此类系统互动对用户体验和理解的影响.
- 研究基于用户培训的技能概括和任务执行计划.
主要方法:
- 使用增强现实 (AR) 进行无脚本任务演示的探索性研究.
- 参与者在一个虚拟的厨房场景中教了一个全息机器人技能.
- 机器人提供了反,提出了概括问题,
主要成果:
- 用户认为该系统具有吸引力,可理解,可信任,但存在一些差异.
- 越来越多的AR场景导致了更有效的机器人知识扩展.
- 用户对机器人的更好理解与更高的用户信任相关.
结论:
- 开发的机器人系统展示了持续的学习和技能泛化.
- 用户参与和理解是影响互动学习系统信任的关键因素.
- 需要进一步的研究来解决交互式学习系统的教训.
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