Sui Hao

Papers

Total Citations

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About

Sui Hao is a rising researcher in the field of self-powered sensing systems, with a primary focus on triboelectric nanogenerators (TENGs) and their applications in underwater robotics and soft actuators. Their most cited work, "A Self-Powered Sensor for Detecting Slip State and Pressure of Underwater Actuators Based on Triboelectric Nanogenerator" (2023), introduces a novel approach to real-time monitoring of underwater actuator performance without external power sources. This contribution addresses critical challenges in marine robotics and deep-sea exploration, where traditional sensors face limitations due to power supply and waterproofing issues. By integrating TENG technology, Sui Hao enables simultaneous detection of slip state and pressure, enhancing the safety and efficiency of underwater operations. With 9 citations and growing recognition, their work is paving the way for autonomous, energy-autonomous sensing in harsh environments. Sui Hao’s research stands at the intersection of materials science, mechanical engineering, and renewable energy, offering practical solutions for next-generation underwater systems. Their innovative sensor design has potential applications in oceanographic research, offshore infrastructure monitoring, and bio-inspired robotics, marking them as an emerging leader in sustainable sensing technologies.