Jong Hoon Park
University of Seoul, Korea Institute of Robot and Convergence
Papers
2
Total Citations
8
H-Index
2
About
Jong Hoon Park is a robotics researcher whose work centers on autonomous mobile systems, motion planning, and 3D perception technologies. His research addresses some of the most pressing computational and operational challenges facing modern robotics, particularly in the domains of autonomous navigation and mobile manipulation. Park's most cited work, "Trajectory-Based 3D Point Cloud ROI Determination Methods for Autonomous Mobile Robot" (2023, 6 citations), tackles the growing computational burden imposed by depth cameras and LiDAR sensors in autonomous systems. By developing intelligent preprocessing methods to reduce point cloud data, his research improves the efficiency and scalability of autonomous mobile robots operating in real-world environments. His follow-up contribution, "Motion Planning of Mobile Manipulator Using Virtual Impedance Energy Field" (2024, 2 citations), addresses the complex challenge of coordinating high-degree-of-freedom mobile manipulators, proposing a novel virtual impedance energy field approach that elegantly separates and controls the distinct behavioral characteristics of mobile bases and robotic arms. Though Park's publication record is still emerging, his focused contributions reflect a clear expertise in bridging perception and motion planning for next-generation autonomous robotic systems — areas of significant practical importance for industrial automation and intelligent robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2