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About

Zeyang Hou is an emerging researcher at the forefront of human-robot interaction, soft robotics, and healthcare robotics, with a particular focus on developing intelligent robot skin systems that enable safer and more intuitive collaboration between humans and machines. His most influential work, "Soft Robot Skin With Conformal Adaptability for On-Body Tactile Perception of Collaborative Robots" (2022, 58 citations), introduced a groundbreaking approach to equipping collaborative robots with flexible, body-conforming tactile sensing capabilities, allowing robots to detect and respond to collisions in real time — a critical safety advancement for co-working environments. Building on this foundation, Hou has pioneered large-area, scalable robot skin technologies designed for telehealthcare applications, as demonstrated in his 2021 work (33 citations), which envisions seamlessly integrating robots into patient care settings. His more recent contribution incorporating digital twin frameworks (2024, 14 citations) further bridges physical sensing systems with intelligent simulation, advancing the vision of Healthcare 4.0. Collectively, Hou's research addresses one of robotics' most pressing challenges: making robots physically aware and trustworthy partners in human-centered environments, earning him growing recognition across the robotics and biomedical engineering communities.