Max Robotics — Global Service Robot Directory + US Certification

About

Zhilong Song is a pioneering researcher at the intersection of biomimetic nanotechnology and artificial intelligence, whose work is redefining electronic sensing systems. His primary research areas include biomimetic olfactory chips, smart gas sensor arrays, and the integration of AI with flexible electronics. Song’s major contributions center on developing large-scale, monolithically integrated nanotube sensor arrays that mimic the biological olfactory system, enabling unprecedented sensitivity and selectivity in gas detection. His landmark 2024 paper on biomimetic olfactory chips has already garnered 151 citations, while his earlier 2019 work on AI-powered gas sensor arrays—which proposed electronic noses as the key to robotic olfaction—has accumulated 109 citations. These innovations are critical for advancing mobile robots that can “smell” and discriminate complex odors, much like humans. Song’s achievements include demonstrating scalable fabrication of nanotube arrays and pioneering the use of machine learning to enhance sensor array performance. His research holds transformative potential for environmental monitoring, healthcare diagnostics, and next-generation robotics, establishing him as a leading voice in the field of intelligent sensory systems.