Lijia Wang

Beijing University of Technology

Papers

1

Total Citations

7

H-Index

1

About

Lijia Wang is a robotics researcher whose work centers on intelligent control systems and human-robot interaction, with a particular focus on assistive mobile robotics. Her most cited paper, "Fuzzy-based intelligent control strategy for a person following robot" (2013, 7 citations), introduces a novel approach that combines RFID localization with stereo vision to enable a robot to safely and autonomously track a specific person. By integrating fuzzy logic control, Wang addresses key challenges in real-time target detection and navigation, enhancing the robot’s ability to adapt to dynamic environments. This contribution is foundational for developing robots that can assist in healthcare, elderly care, or service settings where following a human is essential. Though her citation count is modest, Wang’s work demonstrates a practical, sensor-fusion-driven methodology that bridges perception and control. Her research offers a clear pathway for students and engineers interested in building more intuitive, responsive robots that can work alongside people in everyday spaces.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Fuzzy-based intelligent control strategy for a person following robot
7 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Beijing University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago