About

Fubang Zhao is a rising researcher in tactile sensing and human-robot interaction, with a focus on developing intelligent, skin-like interfaces for robotic systems. His work centers on printed tactile sensor arrays and smart glove technologies that enable machines to perceive and distinguish physical properties of objects. In his highly cited 2024 paper on a leather-based printed tactile sensor array for robotic interactive skin, Zhao introduced a flexible, durable sensing platform that can be integrated into robotic surfaces, achieving 14 citations shortly after publication. This work addresses the critical need for robust, real-world tactile feedback in robotics. Zhao also advanced the field of haptic object recognition with his multibranch fusion method for similar object recognition using a smart tactile glove. This approach tackles the challenge of distinguishing objects with nearly identical physical properties—such as material, shape, and elasticity—where traditional single-branch methods fall short. By fusing multiple tactile data streams, his method significantly improves classification accuracy. Through these contributions, Zhao is helping to bridge the gap between human-like touch perception and robotic dexterity, with potential applications in prosthetics, manufacturing, and collaborative robotics.

Research Focus

Key Achievements

1
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Leather-based printed tactile sensor array for robotic interactive skin
14 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Chongqing Institute of Green and Intelligent Technology, Chongqing University of Posts and Telecommunications

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago