Jinuk Bang

Papers

Total Citations

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About

Jinuk Bang is a researcher specializing in robotics, sensor integration, and human-robot interaction, with a particular focus on enhancing the precision and usability of robotic systems. His most-cited work, "Time Delay Compensation of a Robotic Arm based on Multiple Sensors for Indirect Teaching" (2021, 8 citations), addresses a critical challenge in robotic control: minimizing latency in sensor feedback to improve the accuracy of indirect teaching methods. By leveraging multiple sensors to compensate for time delays, Bang’s research enables more intuitive and reliable human-guided robot programming, a key step toward safer and more efficient collaborative robotics. This contribution is especially valuable for applications in manufacturing, rehabilitation, and assistive technologies, where real-time responsiveness is essential. Though his citation count is still growing, Bang’s work demonstrates a clear trajectory toward solving practical problems in robotic control and sensor fusion. His focus on indirect teaching—a method that allows operators to guide robots without direct physical contact—positions him at the intersection of automation and user-centered design, promising future advances in how humans and machines work together seamlessly.