用触觉背心实时传递机器人信息，提升人机协作时的场景理解能力。
Vibrotactile information coding strategies for a body-worn vest to aid robot-human collaboration
- 通过形状和模式编码触觉信息，模拟皮肤显示效果。
- 相比传统方式，新策略显著提升学习效率与解读准确率。
- 适合高负荷环境下的人机协同任务，如城市搜救。
本文探讨了采用可穿戴触觉背心将机器人实时信息传递给人类操作员的可能性。触觉通信可在不占用视觉或听觉资源的情况下提供信息，特别适用于城市搜索与救援（USAR）场景中人类在高认知负荷下与机器人协同工作的情形。研究聚焦于不同触觉编码策略对场景理解的提升效果，提出一种名为语义触觉（Semantic Haptics）的方法，利用特定形状与模式代表事件，仿佛皮肤成为显示屏。实验表明，该方法显著提升了信息的学习速度与解读准确性。
原文摘要 · Abstract (English)
This paper explores the use of a body-worn vibrotactile vest to convey real-time information from robot to operator. Vibrotactile communication could be useful in providing information without compropmising or loading a person's visual or auditory perception. This paper considers applications in Urban Search and Rescue (USAR) scenarios where a human working alongside a robot is likely to be operating in high cognitive load conditions. The focus is on understanding how best to convey information considering different vibrotactile information coding strategies to enhance scene understanding in scenarios where a robot might be operating remotely as a scout. In exploring information representation, this paper introduces Semantic Haptics, using shapes and patterns to represent certain events as if the skin was a screen, and shows how these lead to bettter learnability and interpreation accuracy.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。