Hongchuan Wei

Duke University

Papers

1

Total Citations

17

H-Index

1

About

Hongchuan Wei is a researcher whose work lies at the intersection of robotics, sensor planning, and autonomous navigation. His most-cited paper, “Optimized visibility motion planning for target tracking and localization” (2014, 17 citations), introduces a visibility-based method for planning the motion of a mobile robotic sensor with a bounded field-of-view. This approach enables a robot to optimally track a moving target while simultaneously localizing itself using online sensor measurements and known landmarks. Wei’s contribution addresses a fundamental challenge in robotics: how to maintain continuous visual contact with a target while ensuring accurate self-localization in dynamic environments. His work has implications for applications ranging from surveillance and search-and-rescue to autonomous driving and drone navigation. By integrating motion planning with state estimation, Wei has helped advance the field of active perception, where a robot’s actions are guided by the need to gather informative sensor data. Though his citation count is modest, the targeted impact of his research on visibility-based planning and target tracking underscores its relevance to ongoing developments in autonomous systems and sensor-driven robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
17
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Optimized visibility motion planning for target tracking and localization
17 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Duke University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago