Papers
13
Total Citations
229
H-Index
7
About
Keun Ha Choi is a robotics researcher whose work spans agricultural automation, rescue robotics, autonomous sensing, and robotic hardware design. He first gained significant recognition through his contributions to autonomous weeding robots in paddy fields, with his 2015 paper on morphology-based guidance line extraction becoming his most influential work, amassing 112 citations and establishing a foundational methodology for vision-guided agricultural robots navigating rice crop rows. This agricultural focus extended across several related publications exploring camera-based row detection algorithms, reflecting a sustained commitment to precision farming technologies. Earlier in his career, Choi made notable contributions to rescue robotics, developing variable single-tracked mechanisms capable of negotiating complex indoor obstacles including stairs, with associated obstacle negotiation algorithms that demonstrated practical deployment potential. More recently, his research has expanded into cutting-edge domains including 4D radar datasets for autonomous driving under the MSC-RAD4R project, legged robot external force estimation using factor graph frameworks, and advanced force/torque sensor design — including a compact six-axis sensor featuring impressive 5 kHz sampling rates and deep learning-based temperature compensation methods. With a body of work spanning over two decades and consistently addressing real-world robotic challenges, Choi represents a versatile and enduring voice in applied robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2MSC-RAD4R: ROS-Based Automotive Dataset With 4D Radar37 citations · 2023
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10