Sung-Kyun Kim
About
Sung-Kyun Kim has authored 19 papers that have received a total of 203 indexed citations.
This includes 7 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Control and Systems Engineering. The topics of these papers are Robotic Path Planning Algorithms (6 papers), Reinforcement Learning in Robotics (5 papers) and Robotics and Sensor-Based Localization (3 papers). Sung-Kyun Kim is often cited by papers focused on Robotic Path Planning Algorithms (6 papers), Reinforcement Learning in Robotics (5 papers) and Robotics and Sensor-Based Localization (3 papers) and collaborates with scholars based in United States, South Korea and Spain. Sung-Kyun Kim's co-authors include Ali‐akbar Agha‐mohammadi, Joel W. Burdick, Rohan Thakker, Maxim Likhachev and Kyohei Otsu and has published in prestigious journals such as IEEE Transactions on Robotics, IEEE Robotics and Automation Letters and The Angle Orthodontist
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