Kangting Liu

Henan University, Robotics Research (United States)

Papers

6

Total Citations

198

H-Index

5

About

Kangting Liu is a researcher whose work spans two notably distinct yet impactful domains: advanced electronic skin (e-skin) sensing technologies and intelligent robotics control systems. In recent years, Liu has emerged as a leading contributor to flexible and wearable sensing, developing sophisticated tactile sensor arrays and bimodal sensing platforms capable of simultaneously detecting pressure and temperature. His 2024 work on hybrid tactile sensor arrays has rapidly garnered 76 citations, reflecting the field's urgent interest in high-performance tactile recognition systems. His all-resistive pressure–temperature bimodal e-skin (56 citations) demonstrates particular ingenuity in enabling object classification for intelligent robots by streamlining multimodal signal outputs through hierarchical material architectures. Liu has also pioneered self-powered sensing through triboelectric nanogenerator-based wearable interfaces, advancing human-machine interaction with energy-autonomous devices. Complementing this, his earlier contribution to neural network robot controllers (2002, 24 citations) established foundational stability proofs for real-time closed-loop control without requiring a dedicated learning phase—a meaningful theoretical achievement. Collectively, Liu's research bridges materials-level innovation with systems-level intelligence, making him a distinctive voice in the rapidly evolving landscape of smart robotics and wearable electronics.

Research Focus

Key Achievements

5
H-Index
6
Papers
198
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Hybrid tactile sensor array for pressure sensing and tactile pattern recognition
76 citations · 2024
📈 Most Prolific Year: 2024 (4 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Henan University, Robotics Research (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago