Zihou Xia

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About

Zihou Xia is a leading researcher in physical human-robot interaction (pHRI) and ambient sensing, whose work bridges tactile intelligence and non-visual perception for assistive robotics. Their most influential contribution is the development of **TacAct**, a comprehensive tactile information dataset that systematically organizes human touch data—such as intentional gestures and emotional cues—during physical contact with robots. This work, cited 22 times, provides a foundational resource for enabling service robots to interpret human intentions through touch, enhancing both naturalness and safety in caregiving and collaborative settings. Xia also pioneered **RF-Care**, an RFID-based system for human pose estimation in nursing-care environments where visual data is obstructed. By leveraging radio-frequency signals, this approach overcomes occlusion challenges, offering a robust alternative to camera-based methods for continuous patient monitoring. With a focus on real-world applications, Xia’s research directly addresses critical gaps in smart healthcare, particularly for elderly care and rehabilitation. Their work has garnered attention for its innovative use of low-cost, privacy-preserving sensing technologies, positioning Xia as a key contributor to the future of empathetic and responsive robotic systems.