Seung-Hwan Baek
Korea Advanced Institute of Science and Technology, Inje University
Papers
5
Total Citations
36
H-Index
3
About
Seung-Hwan Baek is a versatile researcher whose work spans computational imaging, robotics, and intelligent decision-support systems. His most impactful contribution, "Single-Shot Monocular RGB-D Imaging Using Uneven Double Refraction" (14 citations), addresses a critical challenge in 3D sensing for robotics and augmented reality by enabling depth and color capture with a single camera and no active illumination—a breakthrough for compact, power-efficient devices. In robotics, Baek has advanced autonomous navigation with "Arm Trajectory Generation Based on RRT* for Humanoid Robot" (7 citations) and integrated episodic memory into cognitive robot planners, enhancing task performance through temporal reasoning. His earlier work on welding seam tracking using Laser Vision Sensors (10 citations) demonstrates practical applications in manufacturing automation. Baek also contributed to computational intelligence with the DMQEA-FCM algorithm (3 citations), a novel preference-based decision-support tool. While his citation counts reflect emerging impact, the breadth of his research—from optical physics to AI-driven robotics—highlights a unique ability to bridge hardware innovation with algorithmic intelligence. Baek’s work is particularly relevant for researchers exploring efficient 3D sensing, autonomous systems, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1Single-Shot Monocular RGB-D Imaging Using Uneven Double Refraction14 citations · 2020
- 2A study on the welding seam tracking by using Laser Vision Sensor10 citations · 2010
- 3Arm Trajectory Generation Based on RRT* for Humanoid Robot7 citations · 2015
- 4DMQEA-FCM: An approach for preference-based decision support3 citations · 2016
- 5