Xin Wan

Kansai University, Electric Power Research Institute

Papers

Total Citations

H-Index

About

Xin Wan’s research lies at the compelling intersection of human-robot interaction and affective computing, with a focused expertise in designing robotic systems that communicate emotion through physical touch. Their major contribution is pioneering the concept of “emotional gripping,” where a robotic hand uses variable force and duration of grasp to convey distinct feelings—such as comfort, urgency, or reassurance—directly through haptic feedback. This work, detailed in their most-cited paper (7 citations), integrates multiple actuators to modulate finger pressure and hold time, transforming a simple physical contact into a rich, expressive channel. Wan further extends this vision by developing a “physiologically expressive robotic hand” that mimics lifelike presence, enhancing a robot’s perceived social agency. Beyond affective haptics, they have also contributed to practical robotics, designing a vision acquisition module for tunnel inspection robots using an STM32+OV7670 system, demonstrating versatility in embedded systems. With a growing citation footprint, Wan’s research is foundational for creating robots that not only assist but also emotionally resonate with users, promising profound applications in healthcare, companionship, and assistive technology.