Yun-Ki Kim
Papers
11
Total Citations
205
H-Index
6
About
Yun-Ki Kim is a leading researcher in autonomous navigation and mobile robotics, with a career dedicated to advancing robust positioning systems and intelligent control. His primary research areas include GPS/INS sensor fusion, outdoor localization, and the control of unconventional robots such as ball and bicycle platforms. Kim’s most impactful contribution is his 2017 work on a "Robust Navigational System for a Transporter Using GPS/INS Fusion," which has garnered 77 citations. This paper addresses critical GPS signal unreliability by integrating inertial navigation with fault detection, a solution vital for real-world autonomous transport. His earlier 2002 work on FPGA-based acceleration and deceleration circuits for industrial robots and CNC machines, with 43 citations, demonstrates his long-standing influence in hardware-level control. Kim has also pioneered the stable control of a bicycle robot using a reaction wheel (29 citations) and the balancing of a ball robot via fuzzy control (15 citations). His innovative use of multiple GPS receivers and Extended Kalman Filters for high-precision positioning, as well as lane detection algorithms for autonomous mobile robots, underscores his commitment to practical, robust solutions. With a career spanning from industrial automation to cutting-edge autonomous systems, Kim’s work provides foundational techniques for engineers and researchers tackling real-world navigation challenges.
Research Focus
Key Achievements
Top Papers
- 1Robust Navigational System for a Transporter Using GPS/INS Fusion77 citations · 2017
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- 4Balancing and driving control of a ball robot using fuzzy control15 citations · 2015
- 5EKF Based Outdoor Positioning System using Multiple GPS Receivers11 citations · 2013
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- 9Model Prediction Control of Two Wheeled Mobile Manipulator5 citations · 2015
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