Yongtae Do
Papers
9
Total Citations
98
H-Index
4
About
Yongtae Do is a robotics researcher whose work focuses on enabling mobile robots to perceive and navigate dynamic human environments. His primary research areas include robot vision, obstacle detection, and 3D sensing for autonomous navigation. Do’s most significant contribution is the development of moving obstacle avoidance for mobile robots using a single camera, a cost-effective approach that allows robots to detect walking humans without expensive sensor arrays. This work, published in 2012, has garnered 42 citations and remains his most influential paper. He further advanced 3D perception by designing an infrared range sensor array for sparse 3D data collection in robotic applications (29 citations), and developed an omnidirectional vision system for home service robots (8 citations). Do’s research emphasizes practical, low-cost solutions—using off-the-shelf components like single color cameras and PSD sensors—to address real-world challenges such as corridor navigation, pedestrian detection, and inventory checking. His work on self-selective multi-objective robot vision projects also demonstrates a commitment to education, tailoring projects for students of varying abilities. With a career spanning over a decade, Do’s contributions have laid groundwork for safer, more perceptive mobile robots in human-centric spaces.
Research Focus
Key Achievements
Top Papers
- 1Moving Obstacle Avoidance of a Mobile Robot Using a Single Camera42 citations · 2012
- 2Infrared Range Sensor Array for 3D Sensing in Robotic Applications29 citations · 2013
- 3
- 4Omnidirectional vision system developed for a home service robot8 citations · 2007
- 5
- 6PSD sensor array design for the 3D measurement of moving objects2 citations · 2008
- 7Mobile Robot System Design for RFID-based Inventory Checking2 citations · 2011
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- 9