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About

Seok Won Kang is a rising leader in computational mechanism design, with a focus on transforming how robots move, adapt, and interact with humans. His research spans three key areas: the unified optimization of linkage topologies and joint types, the autonomous synthesis of wearable exoskeleton mechanisms, and the development of novel transformable wheel systems. Kang’s most influential work, “Unified topology and joint types optimization of general planar linkage mechanisms” (2018, 18 citations), established a foundational framework for designing complex mechanical systems from scratch. He has since pushed boundaries by introducing the first autonomous synthesis method for self-aligning knee joint exoskeletons (2025), addressing a long-standing challenge in wearable robotics. His work on 1-DOF transformable wheel mechanisms (2023, 10 citations) promises to simplify mobile robot actuation, while his exploration of adaptive core-shell 3D printing for hollow fiber actuators (2025) points toward next-generation soft robotics. With contributions that bridge theoretical optimization and practical hardware design, Kang is shaping the future of adaptive, efficient, and human-centered robotic systems.