通过实时监测生理信号，让工业机器人动态调整行为，提升人机协作的安全与舒适。
Real-Time Adaptive Industrial Robots: Improving Safety And Comfort In Human-Robot Collaboration
- 基于瞳孔变化和距离数据，实时调节机器人速度与运动模式。
- 实验显示认知负荷显著降低，用户舒适感、信任度明显提升。
- 适合关注人机协同体验优化的工程师与工业自动化研究者。
工业机器人日益普及，对直观、舒适的协同工作需求随之增长。我们提出一种用户感知的机器人系统，能够实时适应操作员行为，并非侵入式地监测生理信号，以构建更响应迅速且具同理心的工作环境。原型系统在运行中动态调整机器人速度与运动模式，同时测量操作员的瞳孔扩张与距离。用户研究表明，该自适应系统相比非自适应系统，显著降低了主观与生理测得的认知负荷，提升了可用性。参与者报告称，在与自适应机器人协作时，感受到更强的安全感、舒适感、信任感及协作感。这凸显了将实时生理数据融入人机交互范式的重要潜力。该方法使机器人能‘读取’并响应人类认知状态，创造更自然、协作的工业环境，所有数据与代码均已公开，供未来研究使用。
原文摘要 · Abstract (English)
Industrial robots become increasingly prevalent, resulting in a growing need for intuitive, comforting human-robot collaboration. We present a user-aware robotic system that adapts to operator behavior in real time while non-intrusively monitoring physiological signals to create a more responsive and empathetic environment. Our prototype dynamically adjusts robot speed and movement patterns while measuring operator pupil dilation and proximity. Our user study compares this adaptive system to a non-adaptive counterpart, and demonstrates that the adaptive system significantly reduces both perceived and physiologically measured cognitive load while enhancing usability. Participants reported increased feelings of comfort, safety, trust, and a stronger sense of collaboration when working with the adaptive robot. This highlights the potential of integrating real-time physiological data into human-robot interaction paradigms. This novel approach creates more intuitive and collaborative industrial environments where robots effectively 'read' and respond to human cognitive states, and we feature all data and code for future use.
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