Papers
7
Total Citations
75
H-Index
7
About
Dr. Il-Kwon Jeong is a pioneering researcher in evolutionary robotics and intelligent control systems, whose work has shaped the development of autonomous multi-agent systems and rehabilitation robotics. His research primarily focuses on evolutionary computation, fuzzy logic control, and adaptive control strategies for complex robotic platforms. Dr. Jeong's most significant contributions include developing innovative genetic algorithm approaches for evolving cooperative behaviors in multi-robot systems, as demonstrated in his highly cited work on "Evolving fuzzy logic controllers for multiple mobile robots solving a continuous pursuit problem" (19 citations). His seminal 1997 paper on evolving cooperative mobile robots using modified genetic algorithms (14 citations) established foundational methods for designing controllers without requiring comprehensive system knowledge. Dr. Jeong has also made notable advances in rehabilitation technology, creating mobile gait training systems with body weight support for walking-aid applications (8 citations), and in space robotics through adaptive-robust control schemes for free-flying robots (8 citations). His work on dynamical path-planning using chaotic neuron models (7 citations) further demonstrates his versatility in addressing real-world robotic challenges. With a career spanning from the late 1990s through the early 2000s, Dr. Jeong's research continues to influence modern approaches to evolutionary robotics and intelligent control.
Research Focus
Key Achievements
Top Papers
- 1
- 2Evolving cooperative mobile robots using a modified genetic algorithm14 citations · 1997
- 3
- 4A modified genetic algorithm for neurocontrollers9 citations · 2002
- 5Development of rehabilitation robot systems for walking-aid8 citations · 2004
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- 7