Bongki Kang

Papers

Total Citations

H-Index

About

Bongki Kang is a researcher in robotics and mechanical design, with a focus on bio-inspired mechanisms and adaptive grasping systems. His work centers on developing robotic systems that mimic human musculoskeletal structures and enhance autonomous adaptability. Kang’s most cited paper, “Development of Two-Way Self-Adaptive Gripper Using Differential Gear” (2022, 5 citations), introduces a novel gripper that achieves both linear pinch adaptability and shape-adaptive grasping using a single actuator—a significant step toward more versatile and efficient robotic manipulation. In his earlier work, “Modeling of Human-like Shoulder Complex Robot System” (2019, 2 citations), Kang proposed a mechanical design that replicates the human shoulder’s musculoskeletal complexity using traditional components like links, joints, and tendons. This research contributes to the development of more dexterous and human-like robotic arms. Though his citation counts are still building, Kang’s contributions are notable for their practical innovation in self-adaptive mechanisms and biomimetic design, offering valuable insights for students and researchers interested in soft robotics, gripper design, and humanoid systems.