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About

Haozhou Zeng is a rising researcher at the forefront of wearable sensing and soft robotics, whose work bridges the gap between flexible electronics and practical rehabilitation technology. His research focuses on three key areas: wearable multi-sensor systems for robust physiological monitoring, indirect motion measurement for rehabilitation robots, and variable-stiffness soft robotic hands. Zeng’s major contributions include developing a wearable system that enhances muscle activity monitoring through improved sensor flexibility and noise resistance, and pioneering a dual-module-driven method for foot posture estimation that reduces the need for direct sensor placement—critical for long-term rehabilitation use. His design of the S3Hand, a variable-stiffness soft hand with a self-locking mechanism, addresses the longstanding trade-off between compliance and output force in soft robotics, enabling safer yet stronger grasping. Although his most-cited papers are recent (2024–2025), they have already garnered early citations, signaling growing impact. Zeng’s work holds promise for advancing human-robot interaction, clinical rehabilitation, and assistive technologies, making him a notable emerging voice in wearable systems and soft robotics.