Yaru Kang

National University of Defense Technology

Papers

1

Total Citations

4

H-Index

1

About

Yaru Kang’s research centers on robotics, with a particular focus on area coverage path planning—a critical challenge requiring robots to traverse every accessible point in a workspace while avoiding obstacles. Their most-cited paper, “A Research on Area Coverage Algorithm for Robotics” (2018), has garnered 4 citations and lays foundational groundwork for applications ranging from lawn mowing and snow removal to search-and-rescue missions, pesticide spraying, demining, and cleaning robots. Kang’s contributions advance algorithmic efficiency and practical deployment in autonomous systems, addressing real-world needs for thorough, obstacle-aware navigation. While their citation count is modest, the work’s relevance to diverse industries underscores its potential for broader impact. Kang’s research bridges theoretical path planning with tangible robotic solutions, offering insights for students and engineers tackling coverage problems in dynamic environments. Their efforts highlight the ongoing evolution of robotics toward more autonomous, reliable operations in both domestic and hazardous settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Research on Area Coverage Algorithm for Robotics
4 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: National University of Defense Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago