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About

Cheongjun Kim is a researcher specializing in haptics and surgical robotics, with a focus on enhancing the safety and realism of robot-assisted medical interventions. His work centers on model-mediated teleoperation and haptic feedback for needle-based procedures, particularly in CT-guided interventions. Kim’s major contributions include developing empirical models to simulate reflective forces, friction, and viscoelastic behavior between needles and soft tissues—critical for creating realistic training simulations that help doctors refine their haptic skills. He also advanced torque and force estimation methods for surgical robot instruments, addressing challenges like gravity effects and model mismatch to improve system stability and accuracy in teleoperation. His research, with papers accumulating up to 4 citations each, has laid groundwork for more transparent and stable human-robot interaction in surgery. Notable achievements include his analysis of model mismatch in teleoperation stability and his empirical models for bending moments and nonlinear tissue responses, which directly support the development of haptic training simulators. Kim’s work bridges the gap between theoretical modeling and practical surgical training, offering valuable insights for researchers in medical robotics and haptic interfaces.