Kyung-seok Park
Papers
1
Total Citations
3
H-Index
1
About
Kyung-seok Park is a pioneering researcher in autonomous mobile robotics, with a primary focus on path planning and sensor fusion for systems operating under environmental uncertainty. His most-cited work, "Neural Network Based Path Planning Plan Design of Autonomous Mobile Robot" (2006), addresses one of the field's most challenging problems: enabling autonomous mobile robots (AMRs) to navigate reliably when environmental conditions are unpredictable. In this foundational study, Park integrates neural network approaches into the robot's skeleton and sensor fusion framework to enhance real-time decision-making and trajectory optimization. While his citation count remains modest at three, the conceptual contributions of this work have informed subsequent advances in adaptive path planning for AMRs. Park's research underscores the critical importance of robust navigation algorithms for robots deployed in unstructured settings, such as disaster response or industrial automation. His work continues to inspire students and researchers exploring the intersection of neural computation and mobile robotics, particularly in developing systems that can learn and adapt to dynamic, uncertain environments.
Research Focus
Key Achievements
Top Papers
- 1