Papers

3

Total Citations

20

H-Index

3

About

Jongho Park is a robotics researcher whose work centers on autonomous navigation, path tracking, and sensor fusion for mobile robots. His most cited paper, "Model algorithm control for path tracking of wheeled mobile robots" (2010, 12 citations), introduces a predictive control approach that enables precise trajectory following—a foundational contribution to autonomous vehicle and robot guidance systems. Park also advanced dead reckoning and GPS integration in "Robot Navigation Using a DR/GPS Data Fusion" (2013, 4 citations), addressing the critical challenge of cumulative error in inertial navigation by fusing short-term DR data with long-term GPS corrections for robust outdoor localization. In "Obstacle avoidance extremum seeking control based on constrained derivative-free optimization" (2017, 4 citations), he developed a novel optimization-based method for real-time obstacle avoidance, demonstrating how derivative-free algorithms can navigate robots through cluttered environments without explicit gradient information. Though his citation counts are modest, Park’s work bridges classical control theory with practical robotics challenges, offering elegant solutions to path tracking, sensor fusion, and reactive navigation. His research remains relevant for students and engineers developing autonomous systems, particularly in applications requiring reliable localization and adaptive obstacle handling.

Research Focus

Key Achievements

3
H-Index
3
Papers
20
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Model algorithm control for path tracking of wheeled mobile robots
12 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Jeonbuk National University Hospital, Seonam University, Jeonbuk National University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago