Papers

26

Total Citations

1,018

H-Index

13

About

Bong Seok Park is a control systems engineer whose research has profoundly shaped the field of autonomous mobile robotics, with a particular focus on nonholonomic wheeled mobile robots, adaptive control theory, and multi-robot coordination. His most celebrated contributions address the fundamental challenge of controlling robots under real-world imperfections—model uncertainties, external disturbances, and actuator dynamics—conditions that many earlier researchers conveniently ignored. Park's landmark 2008 paper on adaptive neural sliding mode control, now boasting 285 citations, introduced a sophisticated framework combining neural networks with sliding mode techniques to achieve robust trajectory tracking despite unknown system dynamics. His 2009 follow-up, with 230 citations, elegantly tackled actuator dynamics in electrically driven robots, a notoriously difficult problem that had largely been sidestepped by the research community. Beyond single-robot control, Park has made significant strides in multi-robot systems, pioneering methods for formation control, connectivity preservation, and collision avoidance in networked robot teams. His work on skidding and slipping effects reflects a commitment to practical, real-world applicability. Collectively accumulating nearly 700 citations, Park's body of work represents an essential reference for researchers designing intelligent, resilient autonomous robotic systems.

Research Focus

Key Achievements

13
H-Index
26
Papers
1,018
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive Neural Sliding Mode Control of Nonholonomic Wheeled Mobile Robots With Model Uncertainty
285 citations · 2008
📈 Most Prolific Year: 2021 (5 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Yonsei University, Kongju National University, Chosun University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago