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Towards Intuitive Drone Operation Using a Handheld Motion Controller

2025-04-13 10:25:12
Daria Trinitatova, Sofia Shevelo, Dzmitry Tsetserukou

Abstract

We present an intuitive human-drone interaction system that utilizes a gesture-based motion controller to enhance the drone operation experience in real and simulated environments. The handheld motion controller enables natural control of the drone through the movements of the operator's hand, thumb, and index finger: the trigger press manages the throttle, the tilt of the hand adjusts pitch and roll, and the thumbstick controls yaw rotation. Communication with drones is facilitated via the ExpressLRS radio protocol, ensuring robust connectivity across various frequencies. The user evaluation of the flight experience with the designed drone controller using the UEQ-S survey showed high scores for both Pragmatic (mean=2.2, SD = 0.8) and Hedonic (mean=2.3, SD = 0.9) Qualities. This versatile control interface supports applications such as research, drone racing, and training programs in real and simulated environments, thereby contributing to advances in the field of human-drone interaction.

Abstract (translated)

我们提出了一种直观的人机无人机交互系统,该系统利用基于手势的运动控制器来增强真实和模拟环境中的无人机操作体验。手持式运动控制器通过操作员的手部、拇指和食指的动作自然地控制无人机:扳机按键管理油门,手倾斜调整俯仰角和横滚角,而拇指杆则用于控制偏航旋转。通过ExpressLRS无线电协议与无人机进行通信,确保在各种频率下都有强大的连接性。 使用UEQ-S调查问卷对设计的无人机控制器进行了用户飞行体验评估,结果显示实用性和愉悦性得分都很高:实用性(均值=2.2,标准差=0.8)和享乐性(均值=2.3,标准差=0.9)。这种多功能控制界面支持包括研究、无人机竞速和训练项目在内的多种应用,在真实和模拟环境中都有所贡献,从而促进了人机交互领域的发展。

URL

https://arxiv.org/abs/2504.09510

PDF

https://arxiv.org/pdf/2504.09510.pdf


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