arXiv:2504.09510cs.ROcs.ET2025-04被引 2

用手势控制器实现自然操控无人机,提升操作体验。

Towards Intuitive Drone Operation Using a Handheld Motion Controller

  • 通过手部、拇指和食指动作控制无人机姿态与油门
  • 用户评估显示实用性和愉悦性得分均超2.2分(满分5分)
  • 适合科研、竞速和模拟训练等场景

我们提出一种基于手势的便携式运动控制器,用于提升真实与模拟环境中的人机交互体验。该控制器通过操作者的手部倾斜控制俯仰与滚转,拇指摇杆控制偏航,扳机按键调节油门,实现自然流畅的飞行操控。通信采用ExpressLRS无线协议,在多种频段下保持稳定连接。基于UEQ-S量表的用户评估显示,实用品质平均得分为2.2(标准差0.8),愉悦品质平均得分为2.3(标准差0.9),评分较高。该通用控制界面可应用于研究、无人机竞速及训练项目,推动人机交互领域发展。

原文摘要 · Abstract (English)

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.

人机交互无人机控制手势识别

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