Jinyoung Park
Papers
1
Total Citations
25
H-Index
1
About
Jinyoung Park is a researcher in robotics and multi-agent systems, with a primary focus on collaborative perception and map merging for autonomous ground robots. Their most-cited work, "Map merging of rotated, corrupted, and different scale maps using rectangular features" (2016, 25 citations), addresses a fundamental challenge in cooperative robotics: integrating spatial data from multiple robots operating in unknown environments. Park’s key contribution lies in developing a robust algorithm that can align maps despite differences in orientation, scale, and partial corruption—a critical step for enabling teams of robots to build consistent global maps from local observations. By leveraging rectangular features as reliable landmarks, this work reduces computational complexity while improving merging accuracy under realistic, imperfect conditions. Park’s research directly supports scalable multi-robot exploration and disaster response applications, where individual robots must pool their sensory data without prior calibration. While still early in their career, this foundational paper has established Park as a contributor to practical, real-world mapping solutions, demonstrating how geometric feature extraction can overcome the noise and variability inherent in cooperative perception systems.
Research Focus
Key Achievements
Top Papers
- 1