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About

Min Gyu Park is a robotics researcher whose work has made significant contributions to autonomous mobile robot navigation, particularly in the domain of path planning and obstacle avoidance. His research has centered on addressing one of the most persistent challenges in robotic motion planning: the local minimum problem inherent in artificial potential field (APF) methods, which can cause robots to become trapped before reaching their intended destinations. Park's most influential contributions came in the early 2000s, when he pioneered innovative solutions to this fundamental problem. His 2002 paper on combining APF with simulated annealing garnered 164 citations, while his 2004 work introducing the "virtual obstacle concept" became his most cited publication with 197 citations, offering an elegant and practical mechanism for escaping local minima during real-time navigation. He further extended this line of thinking through his "virtual hill" concept for unknown environments, demonstrating a sustained and evolving research program in intelligent robot navigation. Beyond path planning, Park has explored adaptive control of robot manipulators, including deadzone and friction compensation using neural network architectures. His early work on speech recognition integration in autonomous robots also reflects a broader vision of capable, human-interactive robotic systems. With over 375 cumulative citations, his research remains a meaningful reference point in mobile robotics literature.