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About

Gitae Kang is a robotics researcher whose work spans human-robot interaction, force/torque sensing, and robotic hand design — areas that collectively push the boundaries of intelligent, collaborative robotic systems. His most influential contribution, "Variable Admittance Control of Robot Manipulators Based on Human Intention" (2019, 124 citations), introduced a pioneering framework for interpreting human intent during physical interaction, enabling robots to respond more naturally and safely to human guidance. This work has become a key reference in the human-robot collaboration literature. Kang has also made significant strides in sensor technology, developing deep-learning-based calibration methods for multi-axial force/torque sensors — work that addresses longstanding challenges of nonlinearity and coupling errors — accumulating over 70 citations across related publications. His skin-type proximity sensor research (2020, 50 citations) further demonstrates his versatility, offering novel pre-collision detection capabilities essential for safe human-robot coexistence. Beyond sensing and control, Kang has contributed to anthropomorphic robot hand design, producing 3D-printable, biomechanically informed prototypes and exploring object reconstruction through active touch. His research on hybrid impedance-admittance control and nuclear decommissioning manipulators reflects a commitment to translating fundamental robotics research into demanding real-world applications.