About

Hao Li is a pioneering researcher at the forefront of intelligent electronic skin (e-skin) technology, biomimetic sensing systems, and human-machine interfaces. His work centers on developing advanced tactile sensing platforms that bridge biological inspiration with artificial intelligence, enabling robots and wearable devices to perceive, interpret, and respond to their environments with human-like sophistication. Li's most celebrated contribution is his AI-motivated full-skin bionic electronic skin (2022, 411 citations), which integrates perception-to-cognition capabilities mimicking the human nervous system — a landmark step toward truly intelligent robotic skin. Building on this, he has developed triboelectric-piezoresistive biomimetic skins for robots, micropyramid array capacitive sensors, and all-fabric bionic e-skins, collectively demonstrating exceptional material cognition, surface recognition, and multimodal sensing across dynamic and static conditions. Beyond robotics, Li's research extends into flexible wearable sensors using chitosan-based hydrogels, bioelectronic muscular actuators using bacterial cellulose, and surgical skill assessment for medical applications. His epidermis-dermis bionic robotic sensory systems and crosstalk-free pressure-temperature sensing arrays represent his most recent breakthroughs in multifunctional intelligent sensing. With over 900 cumulative citations, Li has established himself as a highly impactful figure driving the intellectualization of robotic and wearable systems toward human-equivalent perceptual capabilities.

Research Focus

Key Achievements

12
H-Index
17
Papers
997
Total Citations
59
Avg Citations/Paper
🏆 Most Cited Paper
Perception‐to‐Cognition Tactile Sensing Based on Artificial‐Intelligence‐Motivated Human Full‐Skin Bionic Electronic Skin
411 citations · 2022
📈 Most Prolific Year: 2023 (6 Papers)
🤝 Key Collaborators: 63
🏛 Institutions: University of Jinan, Shandong University, Chonnam National University, Jiangsu University, Beijing Academy of Artificial Intelligence, Chinese Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago