通过3D视觉与触觉反馈提升无人机操作精度与体验。
Evaluation of Human-Robot Interfaces based on 2D/3D Visual and Haptic Feedback for Aerial Manipulation
- 结合混合现实与触觉反馈的新型人机交互界面
- 3D视觉和触觉均显著提升操作灵巧度
- 经验丰富的操作员仍表现更优,适合无人机操控研究
大多数用于飞行机器人的遥操作系统仅提供2D屏幕视觉信息。缺乏关于机器人状态与环境的丰富信息会限制操作者的情境感知,进而影响任务表现。尽管操作员经验常可弥补信息不足,但提供更丰富的反馈有望降低认知负荷并带来更直观的操作体验。本文旨在探究在空中遥操作中增加额外信息的重要性,具体包括:(i) 通过混合现实(MR)提供机器人周围环境的3D沉浸式视觉反馈,以及 (ii) 提供机器人与环境交互的3D触觉反馈。为此,我们开发了一种支持上述信息的人机交互界面。首先,在需要亚厘米级精度的真实世界操作任务中验证其有效性;随后,通过包含虚拟积木搬运任务的人体实验,分别评估MR视觉和触觉反馈对灵巧度与认知负荷的影响。结果表明,3D MR视觉和触觉反馈均能提升操作者的灵巧度,但操作员经验仍是决定性能的最关键因素。
原文摘要 · Abstract (English)
Most telemanipulation systems for aerial robots provide the operator with only 2D screen visual information. The lack of richer information about the robot's status and environment can limit human awareness and, in turn, task performance. While the pilot's experience can often compensate for this reduced flow of information, providing richer feedback is expected to reduce the cognitive workload and offer a more intuitive experience overall. This work aims to understand the significance of providing additional pieces of information during aerial telemanipulation, namely (i) 3D immersive visual feedback about the robot's surroundings through mixed reality (MR) and (ii) 3D haptic feedback about the robot interaction with the environment. To do so, we developed a human-robot interface able to provide this information. First, we demonstrate its potential in a real-world manipulation task requiring sub-centimeter-level accuracy. Then, we evaluate the individual effect of MR vision and haptic feedback on both dexterity and workload through a human subjects study involving a virtual block transportation task. Results show that both 3D MR vision and haptic feedback improve the operator's dexterity in the considered teleoperated aerial interaction tasks. Nevertheless, pilot experience remains the most significant factor.
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