Lekang Liu

Yantai University

Papers

2

Total Citations

6

H-Index

2

About

Lekang Liu is a rising researcher at the forefront of human-robot interaction and intelligent sensing, whose work is shaping how robots perceive and collaborate with humans. Liu’s primary research areas include robotic tactile perception, human behavior analysis, and human-robot collaboration in virtual environments. In their notable 2023 paper on a “Robotic Tactile Sensing System Based on Electrical Impedance Tomography” (4 citations), Liu introduced a novel approach that enables robots to effectively sense touch, dramatically improving their ability to understand and interact with their surroundings—a critical step for advanced manipulation and safe physical cooperation. Complementing this, Liu’s work on “Human Behavior Analysis in Virtual Environment for Human-Robot Collaboration” (2 citations) tackles the essential challenge of enabling robots to interpret human actions during joint tasks, ensuring that robotic partners can anticipate and adapt to human intentions. While early in their career, Liu’s contributions are already demonstrating a clear vision: equipping robots with the sensory and analytical tools needed to work seamlessly alongside people, bridging the gap between mechanical precision and intuitive human partnership.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Tactile Sensing System Based on Electrical Impedance Tomography
4 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Yantai University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago