Wenjing Qi

Temple University

Papers

1

Total Citations

2

H-Index

1

About

Wenjing Qi is a researcher whose work focuses on robotics and autonomous navigation, particularly in dynamic environments. Their most-cited paper, "Navigation toward Non-static Target Object Using Footprint Detection Based Tracking" (2013), introduces a novel approach for enabling robots to track and navigate toward moving objects by detecting and following their footprints—a technique that addresses a critical challenge in real-world robotic interaction. This contribution, while accruing modest citations, demonstrates Qi’s early engagement with non-static target tracking, a foundational problem in fields like service robotics and autonomous systems. Qi’s research intersects with computer vision, sensor fusion, and path planning, offering practical solutions for robots operating in unpredictable settings. Though their citation impact is still developing, this work highlights a commitment to advancing robotic autonomy in human-centric environments, where adaptability and real-time response are paramount. For students and researchers exploring mobile robotics, Qi’s approach to footprint-based tracking provides a unique perspective on handling dynamic obstacles and targets, underscoring the importance of low-level perceptual cues in high-level navigation tasks.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Navigation toward Non-static Target Object Using Footprint Detection Based Tracking
2 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Temple University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago