Kristel Verbiest

Royal Military Academy

Papers

1

Total Citations

5

H-Index

1

About

Kristel Verbiest is a researcher in mobile robotics, with a primary focus on autonomous exploration and navigation. Her most-cited work, "Autonomous Frontier Based Exploration for Mobile Robots" (2015), has garnered 5 citations and addresses a fundamental challenge in robotics: enabling robots to intelligently and efficiently map unknown environments without human intervention. By advancing frontier-based exploration strategies, Verbiest’s research contributes to the development of more self-sufficient robotic systems, with potential applications in search-and-rescue, environmental monitoring, and industrial automation. While her citation count is modest, her work represents a meaningful step in the ongoing effort to create robots that can operate autonomously in complex, unstructured spaces. Verbiest’s contributions are particularly valuable for students and researchers interested in the intersection of path planning, sensor integration, and real-time decision-making in robotics. Her focus on practical, implementable algorithms underscores a commitment to bridging theoretical exploration methods with real-world robotic performance.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous Frontier Based Exploration for Mobile Robots
5 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Royal Military Academy

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago