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About

Jin Hwan Borm is a leading figure in robotics, whose work has fundamentally advanced the control, calibration, and teleoperation of robotic systems. His research primarily spans nonlinear tracking control, robot calibration, and human-robot interaction. Borm’s most impactful contribution is his pioneering work on neural network-based control for kinematically redundant manipulators, which has garnered 75 citations and provides a robust framework for complex motion tasks. He has also made seminal contributions to robot calibration, notably through his experimental study on the observability of parameter errors (45 citations), which established best practices for selecting measurement configurations to maximize accuracy. At the Korea Institute of Science and Technology (KIST), Borm developed a groundbreaking teleoperation system for humanoid robots (43 citations), featuring an isomorphic master arm that enhances operator intuition and precision. His work on statistically characterizing robot errors (15 citations) provides a critical framework for quantifying end-effector inaccuracies, essential for high-precision manufacturing. Additionally, his analysis of time delays in teleoperation systems (6 citations) introduced dynamic scheduling policies to improve real-time control. Through these contributions, Borm has significantly enhanced the reliability and usability of robotic systems, from industrial manipulators to humanoid teleoperation.