通过混合现实让人类与无人机在未知环境协同导航更直观安全
Intuitive Human-Drone Collaborative Navigation in Unknown Environments through Mixed Reality
- 用头显共享空间信息,提升人机空间感知
- 用户测试显示交互更自然,任务执行更高效
- 适合救援、巡检等需人机协作的场景
鉴于飞行机器人在巡检、搜救和监控任务中的广泛应用,设计直观的人机接口需求日益增长。本文提出一种新型人机混合现实接口,旨在(a)通过头戴显示设备(HMD)与无人机之间共享关键空间信息,增强人机空间意识;(b)在未知环境中实现更安全、更自然的交互式协同导航,突破传统遥控或第一人称视角(FPV)控制的局限。我们在模拟灾后场景中开展大量用户实验,对比了该系统与传统FPV控制的表现。多轮测试结果表明,所提方案显著提升了交互自然性与任务效率,验证了其在保障无人机安全高效执行任务方面的潜力。
原文摘要 · Abstract (English)
Considering the widespread integration of aerial robots in inspection, search and rescue, and monitoring tasks, there is a growing demand to design intuitive human-drone interfaces. These aim to streamline and enhance the user interaction and collaboration process during drone navigation, ultimately expediting mission success and accommodating users' inputs. In this paper, we present a novel human-drone mixed reality interface that aims to (a) increase human-drone spatial awareness by sharing relevant spatial information and representations between the human equipped with a Head Mounted Display (HMD) and the robot and (b) enable safer and intuitive human-drone interactive and collaborative navigation in unknown environments beyond the simple command and control or teleoperation paradigm. We validate our framework through extensive user studies and experiments in a simulated post-disaster scenario, comparing its performance against a traditional First-Person View (FPV) control systems. Furthermore, multiple tests on several users underscore the advantages of the proposed solution, which offers intuitive and natural interaction with the system. This demonstrates the solution's ability to assist humans during a drone navigation mission, ensuring its safe and effective execution.
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