Jae Byung Park
Purdue University West Lafayette, Jeonbuk National University
Papers
2
Total Citations
118
H-Index
2
About
Jae Byung Park is a leading figure in intelligent robotics and computer vision, with a career dedicated to bridging the gap between perception and autonomous action. His research primarily focuses on sensor-based robotic control, 3D pose estimation, and human-robot interaction. Park’s most influential work, "Person Tracking with a Mobile Robot using Two Uncalibrated Independently Moving Cameras" (2006), has garnered 90 citations for its novel approach to enabling robots to follow human targets without the need for complex camera calibration—a foundational contribution to the field of mobile service robotics. He further demonstrated his impact in industrial automation with his 2009 study on "Precise 3D Lug Pose Detection Sensor for Automatic Robot Welding," which achieved 28 citations by solving a critical real-world problem in shipbuilding: using a structured-light vision system to guide robotic welding with high precision. This work highlights Park’s talent for translating theoretical computer vision into practical, high-stakes manufacturing solutions. His achievements underscore a career marked by innovation in both autonomous navigation and industrial robotics, making him a key researcher for students interested in the future of intelligent, vision-guided machines.
Research Focus
Key Achievements
Top Papers
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- 2