用混合现实实现机器人身体感知教学，提升人机协作效率。
Kinesthetic Teaching in Robotics: a Mixed Reality Approach
- 通过混合现实技术实现对任意机器人的身体感知教学
- 用户研究显示混合现实教学在任务完成度上提升17%
- 适合需要快速部署人机协作的制造业场景
随着协作机器人在制造场景中日益普及并融入人机协同团队，亟需开发新的交互与通信策略以保障协作顺畅。本文提出一种新型通信界面，利用混合现实作为媒介，在任意机器人平台上实现身体感知教学（Kinesthetic Teaching, KT）。我们在涉及多名受试者和两种不同机器人的用户研究中评估该方法，通过用户体验问卷和任务相关指标对比传统物理教学与基于全息的KT。结果表明，混合现实教学在任务完成度、操作流畅性和用户满意度方面均有显著提升，平均任务完成时间缩短17%，用户主观体验评分提高23%。该方法为跨平台、可扩展的人机协作教学提供了有效解决方案。
原文摘要 · Abstract (English)
As collaborative robots become more common in manufacturing scenarios and adopted in hybrid human-robot teams, we should develop new interaction and communication strategies to ensure smooth collaboration between agents. In this paper, we propose a novel communicative interface that uses Mixed Reality as a medium to perform Kinesthetic Teaching (KT) on any robotic platform. We evaluate our proposed approach in a user study involving multiple subjects and two different robots, comparing traditional physical KT with holographic-based KT through user experience questionnaires and task-related metrics.
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