Bo-Seon Kang

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About

Bo-Seon Kang’s research centers on robotics simulation, mechanical design, and computer-aided engineering, with a particular focus on leveraging programming tools to enhance kinematic analysis. In his most-cited work, “A Robot Simulation System Basing on AutoLisp” (2007, 4 citations), Kang developed a novel approach to robot kinetics simulation by constructing and driving models entirely through AutoLisp programs. His key contribution lies in solving the inverse kinematics problem within this framework, enabling precise parameter extraction and motion analysis directly from the simulation environment. This work demonstrated how accessible programming languages could be harnessed for complex engineering tasks, bridging the gap between design and simulation. While his citation count is modest, Kang’s methodology offers a practical, low-cost alternative for early-stage robot design, particularly valuable in educational or resource-limited settings. His approach underscores the importance of integrating programming literacy with mechanical engineering, inspiring students and researchers to explore simulation-driven design. Kang’s work remains a notable example of how targeted, tool-based innovation can advance robotics education and prototyping.