Papers
8
Total Citations
382
H-Index
7
About
Yong-Jae Kim is a pioneering researcher in multi-agent robotics and autonomous navigation, with a career spanning over two decades. His key research areas include robot soccer, multi-agent cooperation, Internet-based robot control, and intelligent path planning. Kim's most influential work, "Modular Q-learning based multi-agent cooperation for robot soccer" (2001), has garnered 110 citations and established foundational methods for distributed robotic coordination. He made significant contributions to the field of mobile robotics by proposing the evolutionary programming-based univector field navigation method, which uniquely addresses the critical problem of robot orientation at target positions—a limitation in traditional obstacle avoidance techniques. His work on Internet control architecture for personal robots (87 citations) demonstrated innovative solutions to time-delay challenges in remote robot operation. Kim is also the author of "Soccer Robotics" (2004), a comprehensive text that has become a reference in the field. His research on vector field-based path planning combined with Petri-net role selection and Q-learning (33 citations) has advanced the integration of learning algorithms with multi-agent systems. With over 380 total citations across his publications, Kim's work continues to influence modern robotics, particularly in autonomous navigation and cooperative multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1Modular Q-learning based multi-agent cooperation for robot soccer110 citations · 2001
- 2Internet Control Architecture for Internet-Based Personal Robot87 citations · 2001
- 3Soccer Robotics65 citations · 2004
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- 71. Soccer Robotics7 citations · 2004
- 8Internet-Based Personal Robot System using Map-Based Localization6 citations · 2001