  This paper presents a collaborative fall detection and response system
integrating Wi-Fi sensing with robotic assistance. The proposed system
leverages channel state information (CSI) disruptions caused by movements to
detect falls in non-line-of-sight (NLOS) scenarios, offering non-intrusive
monitoring. Besides, a companion robot is utilized to provide assistance
capabilities to navigate and respond to incidents autonomously, improving
efficiency in providing assistance in various environments. The experimental
results demonstrate the effectiveness of the proposed system in detecting falls
and responding effectively.
