Gwi Tae Park
Papers
1
Total Citations
4
H-Index
1
About
Gwi Tae Park is a researcher whose work centers on robotics, computer vision, and intelligent systems, with a particular focus on humanoid robot navigation and autonomous decision-making. His research explores how robots can perceive and interact with complex real-world environments, combining advanced vision-based techniques with computational intelligence methods. In his notable 2013 work on 3D vision-based local path planning for humanoid robots, Park introduced the Panoramic Environment Map (PEM) using the MDGHM-SIFT algorithm, a contribution designed to extend a robot's effective field of view and enable more robust obstacle avoidance. By integrating a Complexity Measure (CM) with fuzzy logic-based reasoning, his approach allows humanoid robots to make adaptive, real-time navigation decisions in dynamic environments — a significant challenge in autonomous robotics. While his citation footprint reflects the specialized and emerging nature of his research domain, his work addresses foundational problems that are central to the advancement of service robotics and human-robot interaction. Park's contributions represent meaningful steps toward robots that can safely and intelligently operate alongside humans in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1