Park Joung Ho
Papers
1
Total Citations
7
H-Index
1
About
Park Joung Ho is a robotics researcher whose work focuses on intelligent navigation and control for mobile robots operating in uncertain environments. His key contributions lie at the intersection of fuzzy logic systems and model predictive control (MPC), particularly for obstacle avoidance and path planning in unknown dynamic settings. His most cited work, "A Mobile Robot Obstacle Avoidance Using Fuzzy Logic and Model Predictive Control" (2014), introduces a novel hybrid framework that leverages MPC for precise trajectory tracking of two-wheeled nonholonomic robots while employing fuzzy logic to handle real-time obstacle avoidance. This approach addresses a critical challenge in autonomous robotics: balancing reactive safety with predictive, optimal control. With 7 citations, the paper has influenced subsequent studies in intelligent vehicle control and autonomous navigation. Park’s research is notable for its practical, systems-level integration of classical control theory with soft computing, offering a scalable solution for real-world robotic applications. His work continues to be relevant for researchers developing robust, adaptive navigation systems for service robots, autonomous vehicles, and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1