Papers
7
Total Citations
113
H-Index
5
About
Young Do Kwon is a pioneering roboticist whose work spans from autonomous mobile navigation to cutting-edge surgical robotics. His early research laid the foundation for intelligent mobile robots, introducing a stochastic map-building method using 2-D laser range finders (1999, 37 citations) and the improved weighted safety vector field method for obstacle avoidance (2002, 9 citations). These contributions advanced how robots perceive and navigate uncertain environments. Kwon also made significant strides in human-friendly service robotics, leading the development of the home service robot "ISSAC" (2004, 36 citations), a landmark project that addressed the growing demand for robots in domestic settings beyond traditional industrial applications. More recently, his work on a single-port surgical robot system with flexible instruments (2015, 16 citations) demonstrates a shift toward high-precision medical robotics, minimizing invasiveness in surgery. Across his career, Kwon has integrated evolutionary optimization and fuzzy control into robot systems, enhancing real-time adaptability and stability. With over 100 total citations, his research has influenced both autonomous navigation and surgical intervention, marking him as a versatile innovator who bridges foundational robotics and applied medical technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2Development of a home service robot "ISSAC"36 citations · 2004
- 3Single-Port Surgical Robot System with Flexible Surgical Instruments16 citations · 2015
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- 7Control of mobile robot by using evolutionary fuzzy controller2 citations · 2002