为了增强现实支持群体监控:评估视觉线索以防止碎片化
IEEE transactions on visualization and computer graphics
|October 2, 2025
概括
显示机器人连接的增强现实 (AR) 可视化帮助操作员尽早发现群体碎片化. 然而,这些AR线索并没有持续地改善机器人控制以防止它.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人与计算机的交互
- 计算机视觉 计算机视觉
背景情况:
- 群体分裂,机器人通信和协调的崩,危及任务的成功.
- 增强现实 (AR) 与共定位可视化为人类操作员提供了检测和减轻群体碎片化的潜力.
- 了解感知-决策-行动 (PDA) 循环对于有效的群体监督至关重要.
研究的目的:
- 调查局部AR视觉线索在机器人群监控期间支持人类操作员的有效性.
- 评估AR可视化对预测群体碎片化和选择适当控制行动的影响.
- 评估三个特定的AR线索:机器人连接,主导决策影响和运动方向.
主要方法:
- 进行了一项虚拟现实 (VR) 用户研究,涉及51名参与者.
- 参与者观察到机器人群体表现出各种行为 (扩张,密集,聚集,蜂群).
- 任务包括预测碎片化和选择控制行动以防止它,有或没有AR支持.
主要成果:
- 强调机器人间连接的AR可视化显著改善了对群体碎片化的预测.
- 与基线相比,没有一个经过测试的AR线索能够持续增强对照行动的选择.
- 参与者的表现在不同的群体行为中有所不同.
结论:
- 同位置的AR视觉反显示了增强人类对机器人群体的监督的承诺,特别是在早期碎片化检测中.
- 需要进一步的研究来优化AR线索以改善操作员控制响应.
- 这些发现为未来基于AR的复杂机器人群的监督系统的设计提供了信息.
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